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ki11e6/README.md

Hi 👋 I'm Sharath — Full-Stack AI Engineer

Shipping Production AI Systems & Scalable Web Applications

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

💼 Open to Opportunities

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

Connect with me on LinkedIn Send me an email

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


🔭 Currently Working On

  • 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

Animated typing: Building production AI systems that scale

🛠️ Skills and Tools

🤖 AI & LLM Engineering

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)

🧑‍💻 Languages

JavaScript TypeScript Python

🎨 Styling

HTML5 CSS3 Bootstrap Tailwind CSS Styled Components Sass

💻 Frontend

React Next.js Redux React Query React Router

🛠️ Backend

Node.js Express Socket.IO Payload CMS NestJS FastAPI

🗄️ Databases

MongoDB PostgreSQL Firebase Supabase Redis

🏗️ Infrastructure

Docker Kubernetes AWS Nginx RabbitMQ Elasticsearch GitHub Actions

🧪 Testing

Mocha Jest Vitest

🛠️ Tools

Electron Postman Vite Git Figma VS Code Yarn npm pnpm Prisma

🐧 Linux

Bash Linux Ubuntu

📘 Learning

Rust Go

➕ Also Working With

Angular Vue.js GraphQL MySQL Azure Terraform

💼 Experience

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.


🚀 Featured Projects

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


🌐 Socials

Connect on Discord Follow on Facebook Follow on GitHub Follow on Hugging Face Connect on LinkedIn Follow on X (Twitter)

📊 GitHub Metrics

GitHub Stats

GitHub Stats GitHub Streak

Contribution Calendar

Isometric contribution calendar

Activity

GitHub contribution snake animation

Profile Views

Code Time

📊 This Week I Spent My Time On

🕑︎ Time Zone: Asia/Kolkata

💬 Programming Languages: 
TypeScript               9 hrs 22 mins       █████████░░░░░░░░░░░░░░░░   36.90 % 
Markdown                 8 hrs 25 mins       ████████░░░░░░░░░░░░░░░░░   33.20 % 
Python                   1 hr 53 mins        ██░░░░░░░░░░░░░░░░░░░░░░░   07.45 % 
Other                    1 hr 45 mins        ██░░░░░░░░░░░░░░░░░░░░░░░   06.95 % 
SCSS                     1 hr 1 min          █░░░░░░░░░░░░░░░░░░░░░░░░   04.02 % 

🔥 Editors: 
VS Code                  19 hrs 21 mins      ███████████████████░░░░░░   76.25 % 
Claude Code              6 hrs 1 min         ██████░░░░░░░░░░░░░░░░░░░   23.75 % 

Last Updated on 19/06/2026 20:15:53 UTC

Pinned Loading

  1. langgraph-multi-agent langgraph-multi-agent Public

    Multi-agent research assistant built with LangGraph — supervisor-orchestrated researcher/writer/reviewer agents with iterative refinement, keyless web search, and a provider-agnostic LLM layer (Gro…

    Python

  2. pdf-chatbot-rag pdf-chatbot-rag Public

    Production-style RAG chatbot for PDFs (incl. scanned/OCR) with visual, verifiable citations — Sentence-Transformers + FAISS retrieval, Google Gemini, Streamlit.

    Python

  3. resume-jd-tailor resume-jd-tailor Public

    Multi-agent service that tailors a resume to a job description without fabricating experience. Google ADK pipeline (parallel + sequential agents, schema-enforced outputs) behind a FastAPI service w…

    Python