I'm a Full-Stack AI Engineer with 3.5+ years building scalable web applications, now specializing in production AI systems. I design and ship AI-powered enterprise knowledge platforms for European clients — RAG pipelines, LLM orchestration with LangChain & LangGraph, and multi-agent workflows on a NestJS + Angular stack.

My foundation is the MERN stack and modern TypeScript ecosystems, evolved through production experience into LLM-driven architectures: vector search, agentic orchestration, and event-driven microservices. I write clean, maintainable code that solves real problems end to end.

What I bring to teams:

• Production AI: RAG pipelines, LangGraph multi-agent orchestration, vector/semantic search (Weaviate)
• Full-stack ownership from database design to Kubernetes deployment
• Modern tooling across NestJS, Angular, Next.js, Docker, Azure & AWS
• A pragmatic approach that balances speed with code quality

I'm actively seeking Full-Stack / AI Engineer roles where I can build meaningful AI-powered products and grow with a collaborative team.

📍 Based in Thiruvananthapuram, Kerala, India | 🌐 Open to remote opportunities

• AI Industrial Knowledge Platform — Building an AI-powered enterprise platform (RAG + multi-agent) for a European client, on Angular, Vue.js & NestJS
• Production RAG pipelines — Document ingestion, hierarchical chunking, vector embeddings & Weaviate semantic search across multiple tenants
• LangGraph multi-agent workflows — Decorator-based plugin system for tool discovery and LLM-as-router sub-agent orchestration

Frameworks & Orchestration — LangChain · LangGraph · Multi-Agent Orchestration · Agentic AI · Model Context Protocol (MCP) Retrieval & Search — RAG Pipelines · Vector Embeddings · Semantic Search · Weaviate (Vector DB) Models & Tooling — OpenAI API · Anthropic Claude API · Prompt Engineering · SSE Streaming · Langfuse (Observability)

Full-Stack AI Engineer — German AI company (industrial software) · Dec 2024 – Present Building an AI-powered industrial knowledge platform — production RAG pipelines, LangGraph multi-agent workflows, and multi-tenant auth on Angular, Vue.js & NestJS.

MERN Developer — Freelance / Self-Employed · Nov 2022 – Nov 2024 Shipped e-commerce platforms and event-driven microservices (Docker, Kubernetes, RabbitMQ) on AWS; cut API latency ~60% with Redis caching and Bull job processing.

Multi-agent service that tailors a resume to a job description without fabricating experience — a Google ADK pipeline (parallel + sequential agents, schema-enforced outputs) behind a FastAPI service with a PDF-upload web UI. Python · Google ADK · Multi-Agent · FastAPI · Gemini · Pydantic

Multi-agent system that turns a single question into a researched report — four cooperating agents (Supervisor, Researcher, Writer, Reviewer) as nodes in a stateful StateGraph, with dynamic LLM-based routing, an iterative Writer–Reviewer refinement loop, and a provider-agnostic LLM layer (Groq, Gemini, OpenAI, Anthropic). Python · LangGraph · LangChain · Pydantic v2 · Docker

Production-style RAG chatbot grounded in user PDFs (including scanned/image-only PDFs via Tesseract OCR), with visual, verifiable citations mapping each retrieved chunk back to bounding boxes on the source page. Semantic retrieval via Sentence-Transformers + FAISS with a TF-IDF fallback. Python · LangChain · FAISS · Tesseract OCR · PyMuPDF · Streamlit

📊 This Week I Spent My Time On

🕑︎ Time Zone: Asia/Kolkata

💬 Programming Languages: 
Markdown                 42 mins             ████████████░░░░░░░░░░░░░   49.21 % 
Other                    29 mins             ████████░░░░░░░░░░░░░░░░░   33.49 % 
TypeScript               13 mins             ████░░░░░░░░░░░░░░░░░░░░░   15.90 % 
Python                   0 secs              ░░░░░░░░░░░░░░░░░░░░░░░░░   01.08 % 
Diff                     0 secs              ░░░░░░░░░░░░░░░░░░░░░░░░░   00.32 % 

🔥 Editors: 
Claude Code              1 hr 25 mins        ████████████████████████░   97.76 % 
VS Code                  1 min               █░░░░░░░░░░░░░░░░░░░░░░░░   02.24 % 

🤖 AI Coding This Week

⏱ AI Coding Time: 1 hr 26 mins (99.45%)

✍️ 909 lines written by AI, 0 lines written by hand (100.0% AI-written)

🔤 1,619,296 Input Tokens, 156,062 Output Tokens

💵 $41.60 Estimated AI Cost This Week

🧠 7 AI Sessions, 25 AI Prompts

Opus                     1,091 lines         █████████████████████████   100.00 % 
Claude-Code              0 lines             ░░░░░░░░░░░░░░░░░░░░░░░░░   00.00 % 

🔎 AI Coding Insights:
🤖 AI-Driven — 100.0% of written lines came from AI
📚 Verbose Prompter — average 9,965 characters per prompt
🔁 Iterative Prompter — average 4 prompts per session
🚀 High AI Trust — 0.0% of changed lines were hand-edited

Last Updated on 15/08/2026 18:56:48 UTC