Since December 2024 I've been building an AI knowledge platform for a European industrial client at a German software company. Most of my week goes into multi-tenant RAG pipelines on Weaviate and LangGraph multi-agent workflows, plus the Angular, Vue.js and NestJS app they live in.
Before that I freelanced for two years on the MERN stack, shipping e-commerce platforms and event-driven microservices on AWS with Docker, Kubernetes and RabbitMQ. I still own features end to end, from the database schema to the Kubernetes deploy.
Open to Full-Stack / AI Engineer roles. Based in Thiruvananthapuram, Kerala, India, and open to remote work.
Multi-agent service that tailors a resume to a job description without fabricating experience, using a Google ADK pipeline (parallel + sequential agents, schema-enforced outputs) behind a FastAPI service with a PDF-upload web UI.
Python Β· Google ADK Β· Multi-Agent Β· FastAPI Β· Gemini Β· 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 WriterβReviewer refinement loop, and a provider-agnostic LLM layer (Groq, Gemini, OpenAI, Anthropic).
Python Β· LangGraph Β· LangChain Β· Pydantic v2 Β· 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 Β· LangChain Β· FAISS Β· Tesseract OCR Β· PyMuPDF Β· Streamlit
Full-Stack AI Engineer Β· German AI company (industrial software) Β· Dec 2024 β Present
Building an AI-powered industrial knowledge platform on Angular, Vue.js & NestJS: document ingestion with hierarchical chunking, multi-tenant Weaviate semantic search, and LangGraph multi-agent workflows with a decorator-based plugin system for tool discovery and LLM-as-router sub-agents.
MERN Developer Β· Freelance / Self-Employed Β· Nov 2022 β 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.
- Frameworks & orchestration: LangChain Β· LangGraph Β· Multi-Agent Orchestration Β· Agentic AI Β· Model Context Protocol (MCP)
- Retrieval & search: RAG Pipelines Β· Vector Embeddings Β· Semantic Search Β· Weaviate (Vector DB)
- Models & tooling: OpenAI API Β· Anthropic Claude API Β· Prompt Engineering Β· SSE Streaming Β· Langfuse (Observability)
Full toolbox (languages, styling, frontend, backend, databases, infra, testing, tools)
Stats, contribution calendar and coding time (updated daily by GitHub Actions)
π This Week I Spent My Time On
ποΈ Time Zone: Asia/Kolkata
π¬ Programming Languages:
Markdown 3 hrs 26 mins βββββββββββββββββββββββββ 46.02 %
Other 1 hr 42 mins βββββββββββββββββββββββββ 22.83 %
JSON 1 hr 21 mins βββββββββββββββββββββββββ 18.12 %
TOML 26 mins βββββββββββββββββββββββββ 05.81 %
Text 14 mins βββββββββββββββββββββββββ 03.19 %
π₯ Editors:
Claude Code 7 hrs 28 mins βββββββββββββββββββββββββ 99.99 %
VS Code 0 secs βββββββββββββββββββββββββ 00.01 %
Last Updated on 12/11/2026 00:56:12 UTC