Freelancers using Node.js in Delhi

Freelancers using Node.js in DelhiFreelancers using Node.js in Delhi

Projects People

proDelhi, India

Web and Mobile App solutions tailored for business growth.

$1k+: Earned

8: Followers

Web and Mobile App solutions tailored for business growth.

Cover image for Custom Dashboard Development with Next.js

Custom Dashboard Development with Next.js 🚀 We’ve recently developed a custom management dashboard using Next.js + Firebase to efficiently manage and monitor all key aspects of a mobile application from one centralized platform. The dashboard is designed for scalability, easy management, and a smooth admin experience — giving the team better control over the app and its data. 💻 Tech Stack: Next.js | Firebase 📱 Built for: Mobile App Management ⚡ Focus: Performance | Scalability | Easy Management We’d love to hear your feedback! How do you like the dashboard? Drop your thoughts in the comments 👇

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Cover image for Currently designing a new project

Currently designing a new project and these are some of the first visuals. I'm still refining the direction, so I'd love to get fresh eyes on it. What are your first impressions? Any feedback, suggestions, or critiques are welcome. Thanks in advance! 🙌

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Cover image for Here's a professional Contra post

Here's a professional Contra post you can use: 🚀 Exciting Milestone Achieved! We are proud to announce that we have successfully completed the development of the Bible Blow mobile application for both Android and iOS platforms. Our team handled the complete mobile app development process, focusing on performance, user experience, scalability, and seamless cross-platform functionality. The application is now ready and will be launching soon. Key Highlights: ✅ Android App Development ✅ iOS App Development ✅ Modern & User-Friendly UI/UX ✅ Optimized Performance ✅ Secure & Scalable Architecture A huge thank you to everyone involved in making this project a success. We look forward to seeing Bible Blow impact and inspire its users worldwide. Stay tuned for the official launch! 🎉 #MobileAppDevelopment #AndroidDevelopment #iOSDevelopment #Flutter #AppLaunch #BibleBlow #CrossPlatform #UIUX #SoftwareDevelopment #CrompITSolution You can also add a screenshot or app preview image to increase engagement on Contra.

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Cover image for We’re excited to announce the

We’re excited to announce the successful launch of our Crypto AI platform. We’d greatly appreciate your feedback on the overall design, user experience, and functionality. Your insights will help us refine and improve the platform further. Looking forward to your thoughts.

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Crafting modern web apps that drive results for buisnesses

Crafting modern web apps that drive results for buisnesses

Cover image for Pristine Clinics Website Redesign and AI Assistant

Pristine Clinics Website Redesign and AI Assistant

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Cover image for Project Name: MrFurniture – Custom Office Furniture Solution...

Project Name: MrFurniture – Custom Office Furniture Solutions Link: Mrfurniture (https://mrfurniture-fe-steel.vercel.app/) Description: MrFurniture is a business-focused platform specializing in office furniture with a product catalog, customization options, and instant quote requests. The site delivers a seamless browsing experience, allowing users to tailor furniture selections and obtain fast pricing for informed decision making. Key Features: Extensive product catalog with detailed descriptions Customization options for tailored furniture requirements Instant quotation and inquiry forms Dynamic, responsive frontend optimized for performance Streamlined checkout and user-friendly navigation Tech Stack: React.js, Next.js, Node.js, MongoDB, Stripe payments, AWS, Vercel

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Cover image for Project Name: FindMyCrib – Hassle-Free Property Rental Platf...

Project Name: FindMyCrib – Hassle-Free Property Rental Platform Link: https://findmycrib.in Description: FindMyCrib is a user-friendly property rental platform designed to simplify the search and rental process for tenants and landlords. Features include minimal brokerage, free legal support, and integrated Google Maps for easy location browsing. The platform offers a seamless, trustworthy experience optimized for mobile and desktop. Key Features: Intuitive property listings and search filters Integrated Google Maps for location-based browsing Minimal brokerage and free legal assistance Secure tenant and landlord communication Responsive design for all devices Tech Stack: React.js, Next.js, Node.js, MongoDB, Google Maps API, AWS, Vercel

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Cover image for Project Name: CureBasket – Online Pharmacy Platform Link: Cu...

Project Name: CureBasket – Online Pharmacy Platform Link: Curebasket (https://curebasket-fe.vercel.app/) Description: CureBasket is a modern online pharmacy platform built to simplify access to prescription and non-prescription medicines. Users can easily browse thousands of healthcare products, upload prescriptions in seconds, and enjoy fast, secure doorstep delivery. The platform collaborates directly with top pharmaceutical brands to ensure authenticity and quality. Key Features: User-friendly medicine catalog with advanced filtering Secure prescription upload and instant verification Seamless cart, checkout, and payment experience Real-time order tracking and notifications Quick, secure delivery integration Fully responsive, mobile-friendly design Tech Stack: React.js, Next.js, Tailwind CSS, Node.js, MongoDB, AWS, Vercel

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Full stack developer with 2+ years, skilled in MERN STACK .

Full stack developer with 2+ years, skilled in MERN STACK .

Cover image for Healthcare App

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Cover image for Social Media App

Social Media App

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Cover image for Hotel Management APP

Hotel Management APP

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AKASH VASHISHTHA

proDelhi, India

Versatile Fullstack Engineer | Web & Mobile Expert

$50k+: Earned

5x: Hired

5.0: Rating

114: Followers

Top

Versatile Fullstack Engineer | Web & Mobile Expert

Cover image for Bento Station | Restaurant Delivery Toolkit and Applications

Bento Station | Restaurant Delivery Toolkit and Applications

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Cover image for Realm - Social Media Platform for Music Producers and Artists

Realm - Social Media Platform for Music Producers and Artists

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Cover image for TestBest | LSAT® Prep & Tutoring

TestBest | LSAT® Prep & Tutoring

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Cover image for Légacie Phase 1

Légacie Phase 1

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Hritwik Tripathi

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

5.0: Rating

30: Followers

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

Cover image for 🏆 ETHCC hackathon Winner - Toast

🏆 ETHCC hackathon Winner - Toast

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Cover image for Vega – Blockchain Data Visualization

Vega – Blockchain Data Visualization

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Cover image for PPD Calculator

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Cover image for SnipeMe Clipping Tool Development

SnipeMe Clipping Tool Development

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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 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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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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Ashwani Kumar Puri

React/Next.js dev — I fix slow sites in 48 hours

New to Contra

React/Next.js dev — I fix slow sites in 48 hours

Cover image for A placement portal for a

A placement portal for a college campus. Three roles with different access — students apply and track their applications, companies post drives, admins run the whole cycle. Role-based access control with JWT auth, Prisma and PostgreSQL underneath, containerized with Docker. Self-hosted rather than on a managed platform, so deployment and uptime were mine to handle too. Live at gradplacifyr.kodeforgelabs.com (http://gradplacifyr.kodeforgelabs.com).

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Cover image for A psychometric assessment platform built

A psychometric assessment platform built for a career-guidance client. Students take structured tests; the system scores them and generates their profile reports. React and TypeScript on the front end, Node/Express and PostgreSQL behind it. The part worth talking about is the deployment. The client was already on Hostinger shared hosting, which serves static files fine but can't run a Node process. Instead of moving them to a new provider mid-project, I split the stack — frontend on Vercel, API on Render, database staying on Hostinger. It shipped without them changing anything they were already paying for. Live since June 2026, and I've maintained it on a freelance basis since.

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Cover image for Two production apps run on

Two production apps run on a five-year-old laptop in my room. Nginx handles TLS and routes subdomains to Docker containers; PostgreSQL sits behind them; an Ollama model runs locally as a fallback for the AI features. I built it this way because managed platforms hide the layer where things actually break. Doing my own deploys, certs, and recovery means that when a client's app goes down in production, I've already debugged that layer — on hardware I couldn't just re-provision.

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Cover image for My own site, built from

My own site, built from scratch — Vite and React, CSS Modules, no template and no UI kit. I designed the type scale and the color system myself rather than pulling in Tailwind or a component library, mostly because I wanted to own the CSS layer instead of routing around it. Deployed on Vercel. Live at ashwanipuri.com (http://ashwanipuri.com).

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Turning ideas into web apps, bots and solutions

Turning ideas into web apps, bots and solutions

Cover image for Solana Volume Bot Development

Solana Volume Bot Development

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Cover image for GitHub - ktshacx/StoreFlow: Easy to use store management and re…

GitHub - ktshacx/StoreFlow: Easy to use store management and re…

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Cover image for SeiPAD - Decentralized Token Platform Development

SeiPAD - Decentralized Token Platform Development

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