I build AI automation systems that ship — RAG chatbots, LLM integrations, n8n workflows, and full-stack AI products that replace manual work with intelligent pipelines.
I don't just train models. I take ideas → build working products → deploy them.
Most recently: Completed an 18-week research internship at ISRO's Space Applications Centre where I built MOCK DRILL — a full-stack automated compliance audit platform that compressed a 4-day manual security audit into 4 hours (90% effort reduction). Received a formal Letter of Recommendation from the Head of Cyber Security & Network Division.
What I build for clients and teams:
→ RAG chatbots connected to documents, databases, or websites
→ LLM integrations (GPT-4, Gemini, Claude API) into existing products
→ AI workflow automation using n8n, LangChain, and FastAPI
→ Custom AI tools, Streamlit dashboards, and AI pipelines
→ Full-stack AI applications (React + FastAPI + Docker)
I use AI tools to build fast — working product in days, not weeks.
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Production system built at Space Applications Centre, ISRO
Automated compliance audit platform for critical network infrastructure. Consolidated 69+ security checks across DNS, email, web, and SSH/FTP into a single scan engine.
- Impact: Reduced 4-day manual audit to 4 hours (90% effort reduction)
- Stack: FastAPI · Celery · Redis · PostgreSQL · React · TypeScript · Docker · Nginx
- Features: CVSS v3.1 scoring · Auto-generated remediation playbooks · RBAC (4 roles) · Real-time dashboard · One-click PDF reports
- Recognition: Letter of Recommendation from Head of Cyber Security & Network Division, ISRO SAC
Production-ready business automation workflow built with n8n and Gemini AI
AI-powered lead management system that automatically qualifies inbound leads, routes them into hot/warm/cold pipelines, sends personalized email responses, tracks lead engagement, creates follow-up reminders, and generates daily CRM follow-up digests.
- Stack: n8n · Gemini AI · Gmail API · Google Sheets · Google Calendar · Tally Forms
- Features: AI lead scoring · Automated email workflows · CRM tracking · Reply detection · Calendar automation · Daily lead digest
- Architecture: Event-driven workflow automation using webhooks, AI classification, conditional routing, and scheduled follow-up processes
- 🔗 Live Demo)
Live deployed product — Vercel + Render
USA road trip planner that computes the most cost-effective fuel-stop strategy for any route using a custom greedy look-ahead algorithm and live fuel pricing data.
- Stack: Django REST API · React · TypeScript · Mapbox GL · Docker
- Built with: AI-assisted development pipeline (Claude + Antigravity)
- 🔗 Live Demo
Modular LLM + Vector Search System
Clean, modular retrieval-augmented generation pipeline. Document ingestion → chunking → embeddings → ChromaDB storage → Groq LLM → grounded responses.
- Stack: Python · ChromaDB · Groq LLM · LangChain · Embeddings
- 🔗 Repository
Computer Vision + Conversational LLM — SmartBridge Internship
AI assistant combining computer vision with Gemini API to analyze vehicle images and return structured insights through a conversational chatbot interface.
- Stack: Gemini API · Python · Streamlit · Computer Vision · Prompt Engineering
Hackathon Project — Team of 2
AI-powered solution detecting contradictions between citizen-reported evidence and official government records. Submitted to Google Solution Challenge 2026.
- Stack: TypeScript · Gemini API · Full Stack
Applied ML — Healthcare Domain
LightGBM classifier on medical dataset for early pancreatic cancer detection. Demonstrates applied ML in high-stakes medical decision-making.
- Stack: Python · LightGBM · Scikit-learn · EDA Pipeline
| Achievement | Details |
|---|---|
| 🚀 ISRO Research Internship | Letter of Recommendation — Head of Cyber Security Division, SAC |
| 🏅 Google Solution Challenge 2026 | Participant — AI solution submitted as 2-person team |
| 📚 Academic Excellence | CGPA 9.41/10 — B.Tech Computer Engineering (AI/ML) |
| 💻 25+ Public Repositories | AI/ML, GenAI, Automation, Cybersecurity, MLOps |
| 🎓 Class XII | 91.2% — CBSE PCM |
- Google Cloud — MLOps, Prompt Design in Vertex AI, GenAI Apps with Gemini & Streamlit
- IBM — Deep Learning Essentials, Getting Started with AI
- Microsoft — Computer Vision with Azure Cognitive Services
- Red Hat — OpenShift AI, System Administration I & II, Linux Fundamentals
- KodeKloud — RAG Crash Course, Docker for Beginners
- OpenCV University — OpenCV Bootcamp
✅ Freelance AI automation projects
✅ LLM integration contracts
✅ Remote internships and full-time roles at AI-first startups
✅ Short contracts and one-off builds
✅ Collaborations on AI products
Building AI systems that actually ship.