Freelancers using N8N in Delhi

Freelancers using N8N in DelhiFreelancers using N8N in Delhi

Projects People

proGurugram, India

Founding AI Engineer, Agents, Automation, Cloud, Full-Stack

$1k+: Earned

8x: Hired

4.7: Rating

55: Followers

Founding AI Engineer, Agents, Automation, Cloud, Full-Stack

Cover image for Healthcare Appointment Assistant – AI + Automation Project

Healthcare Appointment Assistant – AI + Automation Project

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Cover image for Automated Voice-over Workflow for Content Production

Automated Voice-over Workflow for Content Production

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Cover image for AI Agents and Chatbots with n8n and OpenAI

AI Agents and Chatbots with n8n and OpenAI

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Cover image for WooCommerce to Shopify Migration & Custom Shopify Development

WooCommerce to Shopify Migration & Custom Shopify Development

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AI Automation Specialist helping businesses automate

New to Contra

AI Automation Specialist helping businesses automate

Cover image for Real Estate Lead Qualification &

Real Estate Lead Qualification & Automated Follow-Up Built an n8n automation workflow that captures real-estate leads through a webhook, cleans and validates the incoming data, evaluates lead quality, stores qualified leads in Google Sheets, and automatically routes them for email follow-up. Workflow includes: Webhook-based lead intake JavaScript data processing and normalization Lead validation using conditional logic Automated lead scoring based on lead information Hot / Warm / Cold lead prioritization Google Sheets lead database integration Switch-based routing for different lead priorities Automated Gmail notifications/follow-ups Structured lead data including budget, property type, location, timeline, and loan requirement This workflow demonstrates how manual lead qualification, data entry, prioritization, and initial follow-up can be automated, helping real-estate teams respond faster and focus their time on higher-quality prospects. Built with: n8n • JavaScript • Webhooks • Google Sheets • Gmail • Conditional Logic

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Cover image for AI-Powered Customer Support Ticket Automation
Built

AI-Powered Customer Support Ticket Automation Built an end-to-end n8n automation that processes multiple customer support requests, uses AI to analyze and classify each ticket, and automatically routes urgent issues for faster attention. Workflow includes: Webhook-based customer request intake Split Out for processing multiple customer requests individually OpenAI-powered ticket analysis Structured Output Parser for consistent AI-generated data Automatic priority classification (High, Medium, Low) IF-based routing for high-priority tickets Automated Gmail alerts for urgent support requests Google Sheets logging for organized ticket management Dynamic customer summaries and recommended actions Webhook response handling This automation reduces manual ticket sorting, helps teams identify urgent issues quickly, and keeps customer support data organized in one place.

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Cover image for Customer Complaint Routing Automation |

Customer Complaint Routing Automation | n8n Built this workflow today to automate customer complaint handling and priority-based routing using n8n. Instead of manually reviewing every complaint, the workflow automatically: 📩 Receives customer complaints through a Webhook ⚙️ Uses JavaScript Code to process multiple customer records 🔀 Uses IF logic to identify high-priority complaints 🚨 Sends high-priority complaints to an external API via HTTP Request 📊 Sends normal-priority complaints directly to Google Sheets 📝 Structures customer name, email, complaint, priority, status & message for further processing This is a practical example of how automation can reduce manual complaint handling and make sure urgent cases are routed immediately while regular cases are still recorded systematically. Tools: n8n • Webhooks • JavaScript • IF Logic • HTTP Requests • Google Sheets • JSON

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Cover image for AI-Powered Lead Qualification & Automation

AI-Powered Lead Qualification & Automation Built this workflow in n8n to automate the lead qualification process from start to finish. Webhook → Data Processing → AI Analysis → Structured Output → IF Logic → Google Sheets The AI evaluates each lead based on their budget, requirements, and overall fit, then routes the result automatically for organized tracking and follow-up. Built with: n8n • OpenAI • Webhooks • Google Sheets • Structured Output A practical automation designed to reduce manual work, improve consistency, and help businesses handle leads faster.

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Hritwik Tripathi

AI Automation | Full-Stack Dev | Web3 | 8× 🏆 Hackathon

5.0: Rating

29: Followers

AI Automation | Full-Stack Dev | Web3 | 8× 🏆 Hackathon

Cover image for PPD Calculator

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Cover image for SnipeMe Clipping Tool Development

SnipeMe Clipping Tool Development

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Cover image for HIE Agency Website Development

HIE Agency Website Development

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Cover image for 🏆 Sahyogi - (Hack-a-Solution Hackathon Winner)

🏆 Sahyogi - (Hack-a-Solution Hackathon Winner)

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Data Science AI ML Expert with Python Full Stack & Backend

14: Followers

Data Science AI ML Expert with Python Full Stack & Backend

Cover image for I design and implement intelligent

I design and implement intelligent marketing automation systems that combine AI with robust CRM platforms to streamline customer engagement, lead management, and business workflows. By integrating advanced AI capabilities with tools like Zoho, Zapier, Make, and n8n, I help businesses automate repetitive tasks, personalize customer interactions, and improve conversion rates. This solution enables organizations to move beyond traditional marketing by leveraging AI-driven insights, automated workflows, and seamless CRM integration. From lead capture to nurturing and conversion, the entire customer journey is optimized through smart automation and data-driven decision-making. I have built scalable systems that connect multiple platforms, automate multi-step processes, and incorporate AI models such as Claude for intelligent responses, content generation, and workflow enhancement. The result is a highly efficient, low-maintenance marketing ecosystem that saves time, reduces manual effort, and drives measurable growth. Skills: 🔹 AI Automation & Workflow Design 🔹 CRM Integration & Optimization 🔹 Marketing Automation Strategy 🔹 Prompt Engineering (LLMs) 🔹 API Integration & Webhooks 🔹 Data Flow Architecture 🔹 Business Process Automation

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Cover image for A multi-tenant architecture is a

A multi-tenant architecture is a software architecture where a single application instance serves multiple customers (tenants) while keeping each tenant's data and configuration isolated. Example Imagine a SaaS CRM platform: - Company A uses the CRM. - Company B uses the same CRM. - Company C uses the same CRM. All three companies share the same application, but: -> Their users only see their own data. -> Their settings, branding, and permissions can be different. -> The platform provider maintains only one codebase.

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Cover image for AI Chatbot Application Development

AI Chatbot Application Development

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Cover image for I offer AI, data science,

I offer AI, data science, analytics, software development, cloud computing, cybersecurity, and digital transformation services for startups and enterprises. My expertise includes machine learning, generative AI, big data analytics, business intelligence, web and mobile app development, IoT solutions, and enterprise automation. I also provide consulting, staffing, and industry-specific solutions for healthcare, finance, retail, insurance, energy, and supply chain businesses.

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Jagwinder Singh

Full Stack Developer

23: Followers

Full Stack Developer

Cover image for AI Customer Service Automation Platform

AI Customer Service Automation Platform An intelligent AI-driven customer support platform that automates and streamlines customer service across multiple channels. It helps businesses deliver faster, smarter, and more consistent support by combining AI chatbots, ticket automation, and omnichannel communication in one unified system. The platform uses NLP and machine learning to understand customer queries, provide instant responses, and intelligently route complex issues to human agents. It reduces workload, improves response times, and enhances customer satisfaction. Key Features: - AI Chatbot for 24/7 instant customer support - Omnichannel support (chat, email, social media, WhatsApp) - Smart ticketing with auto-categorization and routing - AI agent assist with reply suggestions and insights - Workflow automation for repetitive tasks - Sentiment analysis for priority handling - Self-service knowledge base integration - Multilingual support for global users - Real-time analytics and performance dashboards - Easy integrations with CRM and third-party tools This platform enables businesses to scale customer service efficiently while reducing costs and improving overall customer experience through automation and AI intelligence.

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Cover image for Multi-Vendor E-Commerce Marketplace
Designed and developed

Multi-Vendor E-Commerce Marketplace Designed and developed a scalable multi-vendor e-commerce marketplace connecting customers, sellers, and administrators through a unified platform. Overview A modern marketplace platform built for multiple independent vendors, allowing sellers to manage products, inventory, orders, pricing, and fulfillment, while customers can discover products, compare options, purchase securely, and track their orders. Key Features - Multi-vendor seller registration and onboarding - Seller dashboards with products, inventory, orders, and sales - Advanced product catalog with categories, variants, attributes, and pricing - Powerful search, filtering, sorting, and product discovery - Product details, reviews, ratings, wishlist, and saved items - Shopping cart and secure checkout - Multiple payment methods and automated vendor payouts - Order management and real-time order status - Customer accounts, addresses, order history, and tracking - Vendor storefronts and profiles - Promotions, coupons, discounts, and featured products - Admin dashboard for users, vendors, products, orders, payments, and commissions - Vendor commission and revenue management - Responsive design across desktop, tablet, and mobile - Scalable architecture prepared for large product catalogs and growing traffic UX & Design The interface was designed around a clean, conversion-focused shopping experience inspired by leading marketplaces such as Amazon, eBay, Wayfair, etc. The focus was on intuitive navigation, fast product discovery, clear product information, frictionless checkout, and dedicated experiences for both buyers and sellers. Outcome Delivered a complete marketplace foundation designed to support multiple vendors, thousands of products, secure transactions, automated workflows, and scalable business operations.

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Cover image for AI Agent Tutor Mobile App
An

AI Agent Tutor Mobile App An AI personal tutor mobile application designed for learners of all ages, from students to professionals. The app provides personalized guidance, explanations, skill development, and interactive learning across multiple subjects and topics. Key Features: > AI tutor conversations for learning any topic > Personalized learning paths based on user goals and skill level > Support for academics, professional skills, coding, languages, and general knowledge > AI explanations, summaries, and concept breakdowns > Practice exercises, quizzes, and knowledge improvement tools > Voice and text-based learning interactions > Learning history and progress tracking > Adaptive AI responses based on user behavior Key Contributions: -- Developed a cross-platform mobile learning experience -- Integrated AI/LLM technology for real-time tutoring interactions -- Implemented secure authentication and data management -- Optimized performance and user experience across devices Outcome: Created an AI learning companion that enables users of all ages to learn, improve skills, and access personalized education anytime through a mobile-first experience.

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Cover image for Employee Productivity Monitoring System
Built a

Employee Productivity Monitoring System Built a web-based Employee Productivity Monitoring System designed to help organizations track work activity, improve accountability, and gain insights into team performance in real time. The system includes features such as activity tracking (keyboard/mouse usage metrics), application and website usage monitoring, task-wise time logging, and optional periodic screenshots for audit transparency. It provides role-based access for admins, managers, and employees with secure authentication and data segregation. A real-time dashboard aggregates productivity metrics into visual reports, showing active vs idle time, productivity scores, and weekly performance trends. Managers can assign tasks, set productivity benchmarks, and export reports for HR or compliance use. Focused on scalable backend architecture with efficient event logging, low-overhead tracking agents, and privacy-aware configuration controls to ensure compliance and minimal system impact.

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New Delhi, India

Premium Website & Landing Pages for Modern Businesses.

New to Contra

Premium Website & Landing Pages for Modern Businesses.

Cover image for AI Sales Call Analyzer &

AI Sales Call Analyzer & CRM Automation 😍 : End the hours spent on sales call reviews and manual CRM updates. I build custom AI automation that listens to your sales calls, transcribes conversations, identifies customer pain points, objections, buying signals and deal potential, then creates personalized follow-up emails and updates your CRM automatically. It can also ping your team on Slack, create follow-up tasks, and organize sales insights in Google Sheets. This solution is perfect for SaaS companies, agencies, consultants and growing sales teams that want to save time, improve follow-ups and never miss valuable customer insights. Every workflow is customized to your business, integrates with your existing tools and allows your team to focus on what matters most – closing more deals. Reply Me in the comments, how its looking ?😊

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Cover image for Dental Clinic — Premium Website

Dental Clinic — Premium Website Experience : Reimagining what a modern dental clinic website can look like. Instead of following the typical medical-template aesthetic, I explored a cleaner and more editorial visual direction with refined typography, generous spacing, expressive layouts, subtle motion, and a more human approach to the overall experience. Every section was designed to feel intentional—from the first impression to services, patient trust, and appointment conversion. PREVIEW LINK: omaisadentistry.vercel.app (https://omaisadentistry.vercel.app) TELL ME IN THE COMMENTS HOW IT IS ??

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Cover image for Avery Quinn — Kajabi Website

Avery Quinn — Kajabi Website Concept😍 A premium coaching website concept designed around the needs of a modern personal-brand coaching business. The goal was to create a digital experience that feels premium, communicates the offer clearly, and guides visitors toward becoming leads and eventually customers. The experience includes: → Premium coaching homepage → Program / offer page → About experience → Free productivity guide → Lead capture journey → Thank-you page → Email nurture sequence concept → Conversion-focused CTAs Kajabi-focused This concept was designed with Kajabi's coaching and digital-product ecosystem in mind, with a structure that can translate into a Kajabi-based website and marketing funnel. The focus wasn't just on making the website look good — it was on connecting brand → content → lead generation → nurture → conversion. PROJECT PREVIEW: https://averyquinncoaching.netlify.app/ Designed to demonstrate my approach to premium coaching websites and Kajabi-focused projects. Leave your opinion in the box below...😊

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Cover image for HOMEYS — A Digital Experience

HOMEYS — A Digital Experience Built Around Creator Culture HOMEYS is a self-initiated website concept created to explore how a creator collective could translate its personality, energy, and content ecosystem into a modern digital experience. Instead of building a traditional creator website, I focused on creating something immersive, visual, and dynamic , combining bold typography, interactive motion, transitions, content-driven layouts, and a strong visual identity. The goal Create a digital home that feels as energetic as the creators themselves while still maintaining a polished, premium interface. What I worked on Creative Direction Developed the overall visual language, composition, typography, color system, and interaction direction. UI/UX Design Designed the page structure, visual hierarchy, content sections, responsive layouts, and user flow. Motion & Interaction Added animated transitions, scroll interactions, hover states, movement, and other micro-interactions to make the experience feel alive. Frontend Development Translated the visual concept into a responsive, interactive website with a focus on performance and smooth interaction. Design direction The experience was intentionally built around: • Bold typography • High-impact creator visuals • Dynamic transitions • Interactive sections • Strong visual hierarchy • Responsive layouts • A modern creator-first aesthetic PREVIEW LINK: https://homey1.vercel.app/ This project was created as an exploration of how creator brands can move beyond social platforms and build a distinct digital identity of their own.dynamic,

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I build production AI agents that automate real workflows

I build production AI agents that automate real workflows

Cover image for Overview 📖
Built an end-to-end agentic

Overview 📖 Built an end-to-end agentic content creation pipeline for a fast-growing AI-powered SEO platform. The system chains multiple LLM agents together to research, draft, and optimize content automatically, replacing what used to be a manual, multi-step editorial process with a single automated workflow. Collaboration 🤝 Partnered directly with the platform's engineering team to design and ship the automation layer that now sits at the core of their content operations, turning a bottlenecked manual process into a scalable, always-on pipeline. Key Challenges 🤔 Multi-step content logic: Research, drafting, and optimization each require different context and tone, but had to feel like one coherent pipeline, not three disconnected tools. Consistency at scale: Every piece of generated content had to match brand voice and pass compliance checks, without a human reviewing each one manually. Orchestration complexity: Content jobs needed to trigger reliably from webhooks and third-party APIs, run through multiple agents in sequence, and fail gracefully without stalling the whole pipeline. Performance under load: The backend had to stay fast and stable as content throughput scaled up. Approach 🔍 Agentic content pipeline design Designed a multi-step LangChain agent chain with tool-calling, where each agent (research, drafting, optimization) has a clearly scoped role and hands off structured output to the next. Workflow orchestration with n8n Built n8n automation workflows to handle webhook triggers, third-party API integrations, and job routing, removing the need for manual intervention at almost every stage. Brand voice & compliance enforcement Layered in structured prompting and validation steps so generated content stays on-brand and passes compliance checks automatically, at scale. Backend performance tuning Optimized FastAPI endpoints and managed Azure-hosted PostgreSQL databases to keep latency low under high content-throughput conditions. Results & Impact ✨ ~60% reduction in manual intervention across the content pipeline, freeing the team to focus on strategy instead of babysitting workflows. Consistent brand voice at scale, with compliance checks running automatically instead of manually. Reliable, low-latency infrastructure validated under real content-throughput loads. A reusable agentic architecture the platform can extend to new content types without rebuilding the pipeline. Provided Services & Solutions ✅ 📌 AI Agent Development (LangChain) 📌 Workflow Automation (n8n) 📌 LLM Integration (GPT-4, Claude) 📌 API Development (FastAPI) 📌 Cloud Database Management (Azure, PostgreSQL) 📌 Architecture Design & Consulting Tech Stack Python · FastAPI · LangChain · n8n · GPT-4 · Claude · Azure · PostgreSQL

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Cover image for My submission for replitbuildathon. Features

My submission for replitbuildathon. Features an AI agent that answers inbound leads in seconds, qualifies them against your rules, and books the appointment — rebrandable for a new client in about a minute. Most small businesses lose leads to silence. Someone lands on the site at 9pm, fills nothing in, and leaves. Frontdesk is the agent that catches them. It greets the visitor, works through the qualifying questions you defined, scores what it hears out of 100, books the appointment, and hands the team a lead with the transcript and a follow-up email already drafted. The reason it's a template and not a product: it's built to be rebranded. Set a logo and two colours in Brand Studio and the entire app, the chat widget, and the design system documentation retint together, because they all read the same tokens. Agencies fork it once per client. Applying a preset doesn't recolour the same install: it opens a different one, with its own agency name, business name and greeting. Checkout the app here: https://frontdeskzip--SuyashDubey3.replit.app

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Cover image for Built a virtual try-on application

Built a virtual try-on application that lets users try on garments over WhatsApp. A user sends a photo through WhatsApp, and the app returns a realistic image of them wearing the selected garment, no app download or website visit required. Designed and built the system end-to-end, from the WhatsApp messaging integration through to the try-on generation pipeline, as a self-contained product demonstrating conversational commerce for fashion/retail use cases. Key Challenges: - Frictionless UX over a messaging app: WhatsApp isn't built for structured app interactions, so the flow had to feel natural through simple image and text messages, not clunky commands. - Reliable image handling: Incoming photos vary wildly in quality, lighting, and pose, and had to be received, processed, and matched with garment images reliably. - Fast turnaround: Users expect a near-instant reply on a messaging app, so the backend had to handle image processing and model inference without long delays. - Stitching third-party services together: Twilio's WhatsApp API and Gradio's try-on model weren't built to talk to each other, so the app had to bridge them cleanly. Approach: WhatsApp integration via Twilio -Set up Twilio's WhatsApp API to receive incoming user images and send outgoing try-on results, handling the messaging layer end-to-end. Flask backend as the orchestration layer -Built a Flask application to receive Twilio webhooks, manage the request flow, and coordinate between incoming user images and the try-on model. Virtual try-on generation with Gradio - Integrated Gradio's virtual try-on model to generate the final garment-on-user image, returning a realistic composite result. End-to-end flow design - Connected the pieces so a user's WhatsApp message triggers the full pipeline automatically: receive image → process → generate try-on → send result back, all within a single conversation. Results & Impact - A working conversational shopping experience built entirely on a messaging app users already have open every day. - Zero-download, zero-signup try-on flow — removes the biggest friction point in getting users to try a new AI-powered feature. - A reusable integration pattern connecting Twilio, Flask, and a generative vision model, applicable to other WhatsApp-based commerce or personalization tools. Provided Services & Solutions 📌 Conversational App Development 📌 WhatsApp API Integration (Twilio) 📌 Backend Development (Flask) 📌 Generative AI Integration (Gradio virtual try-on model) 📌 Third-Party API Orchestration Tech Stack: Python · Flask · Twilio WhatsApp API · Gradio If you want an AI-powered experience built directly into a channel your customers already use, like WhatsApp, let's talk.

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Cover image for Built and maintained a HIPAA

Built and maintained a HIPAA compliant production medical AI scribe system that uses multi-step LLM agents to extract clinical entities directly from physician-patient conversations and turn them into structured medical notes, cutting down the manual transcription work clinicians used to do after every visit. Multi-stage clinical workflow: Documentation, coding, and review each have different logic and conditional paths, and the system needed to branch correctly between them without losing context. Clinical accuracy: Generated notes had to be grounded in real patient history and clinical guidelines, not just plausible-sounding text. Production reliability: As a live system handling real conversations, every agent run needed to be observable, debuggable, and monitored for cost and latency in real time. Non-technical requirements gathering: Clinical needs had to be captured accurately from stakeholders without a technical background and translated into precise agent logic. Approach: Stateful agent orchestration with LangGraph Designed LangGraph-based agent workflows with conditional branching, allowing the system to move correctly across documentation, coding, and review stages based on conversation content. Context-grounded note generation with RAG Built a RAG pipeline on AWS Bedrock with embeddings, so every generated note is grounded in the patient's actual history and relevant clinical guidelines rather than generic output. Full production observability Integrated Langfuse across all agent runs to track token usage, latency, and model KPIs, giving the team visibility into system health and cost in production, not just at build time. Clinical stakeholder collaboration Ran requirements sessions directly with clinical staff, converting their documentation needs into concrete agent behavior specs and validation criteria. Results & Impact: ~40% reduction in manual transcription time for clinicians using the system. Clinically grounded output, with notes tied to real patient history and guidelines instead of unsupported generation. Full production observability, with token usage, latency, and model performance tracked continuously. A workflow clinicians could trust, built through direct collaboration rather than a black-box handoff. Provided Services & Solutions: 📌 AI Agent Development (LangGraph) 📌 RAG Pipeline Development (AWS Bedrock) 📌 LLM Observability (Langfuse) 📌 Cloud Infrastructure (AWS Lambda, S3, DynamoDB) 📌 Stakeholder Requirements Translation 📌 Production ML Systems Tech Stack Python · LangChain · LangGraph · AWS (Bedrock, Lambda, S3, DynamoDB) · Langfuse · TypeScript · REST APIs

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New Delhi, India

Zoho CRM & Lead Automation Specialist

New to Contra

Zoho CRM & Lead Automation Specialist

Cover image for Automated Lead Capture & Sales Alert System with n8n

Automated Lead Capture & Sales Alert System with n8n

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Cover image for Automate Lead Capture & Sales Alerts with n8n Solutions

n8n Instant Lead Capture & Sales Alert Automation System. Designed and implemented an automated lead capture and sales notification workflow using n8n to streamline inbound lead management and reduce manual processing.

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Cover image for Agency Sales Pipeline & Outreach CRM Built in Airtable

Agency Sales Pipeline & Outreach CRM Built in Airtable

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Cover image for Production-Grade GoHighLevel AI Appointment Booking

Production-Grade GoHighLevel AI Appointment Booking & Lead Nurture System. Designed and implemented a production-grade GoHighLevel automation ecosystem that manages the complete lead-to-client journey. The system automatically captures leads, qualifies prospects using AI-driven workflows, nurtures engagement through automated follow-ups, schedules appointments, manages opportunities, and tracks performance through executive dashboards. Services Provided😍 1. CRM Architecture & Implementation 2. GoHighLevel Automation 3. AI Lead Qualification 4. Lead Nurture Automation 5. Appointment Booking Systems 6. Sales Pipeline Automation 7. Workflow Design & Optimization 8. Reporting & Analytics Tools Used -> GoHighLevel, Make.com, GroqAI

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