Projects using N8N in GurugramProjects using N8N in GurugramI 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 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. 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 ?😊 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 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 
