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Available for Opportunities

MADHAV
M S

Computer Science & Data Science Student

Building intelligent systems at the intersection of AI, cloud, and decentralized technologies. Pursuing a B.E. in Computer Science at CIT alongside a B.S. in Data Science from IIT Madras.

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01 / About

Building Systems from
first principles.

I'm a Computer Science student at Chennai Institute of Technology, concurrently pursuing a BS in Data Science from IIT Madras — intentionally operating at the intersection of systems and intelligence.

My focus is engineering AI-powered systems, from retrieval and orchestration to deployment and evaluation. I build RAG pipelines, multi-agent workflows, and backend infrastructure using LangGraph, Strands SDK, FastAPI, and AWS.

Alongside this, I’m actively exploring decentralized technologies and cloud systems, building foundational projects to understand how modern distributed systems work end-to-end.

Build
AI Systems & APIs
Scale
Cloud & Deployment
M
Madhav M S
Chennai, Tamil Nadu · India
⚡ Currently Building
MedicaLog: A Consent-Based Medication Adherence Awareness System
DocuQuery: AI-powered RAG platform for querying and managing private document fleets
📚 Currently Learning
A2A Communication
Model Context Protocol
AI Evaluation and Observability
Distributed AI Systems
Cloud Native AI Deployment
02 / Experience & Education

Where I've been
so far.

Work Experience
April - June 2026
AI Engineer
Invisibl Cloud Solutions Pvt Ltd · Internship
  • Built a multi-agent Medical Protocol Assistant using LangGraph, ChromaDB, and Groq LLMs, enabling context-aware retrieval and safety-focused protocol validation.
  • Engineered a cyclic agent orchestration workflow with feedback loops, metadata-filtered retrieval, retry mechanisms, and MCP server integrations for tool-enabled agent execution.
  • Developed an LLM-powered validation layer that detects protocol conflicts, prioritizes context-specific guidance, and generates safety-aware recommendations using structured reasoning.
Nov – Dec 2025
Platform Engineer
Invisibl Cloud Solutions Pvt Ltd · Internship
  • Built a production-grade RAG system for multi-format document understanding using LangChain, Sentence Transformers, and ChromaDB.
  • Designed an agentic RAG workflow with Strands SDK, enabling LLMs to autonomously perform retrieval, reasoning, and tool execution.
  • Developed a Python-based code interpreter for natural-language-driven CSV/XLSX analysis with dynamic visualisations.
Education
2024 – 2028
BE Computer Science Engineering
Chennai Institute of Technology
2024 – Present
BS Data Science & Applications
IIT Madras
03 / Projects

Things I've
built.

From agentic AI pipelines to decentralised storage — each project is a real problem I chose to solve.

🤖
Completed
Agentic RAG System · AWS Strands
Production-grade agentic RAG pipeline enabling autonomous decision-making between document retrieval, reasoning, and tool execution. Semantic retrieval with ChromaDB exposed via FastAPI REST APIs.
FastAPI Strands SDK LangChain ChromaDB Groq LLM Python
🔐
Prototype
DecentraVault
Decentralised file storage dApp — files AES-256 encrypted in-browser, stored on IPFS, metadata recorded immutably on Ethereum smart contracts. MetaMask wallet login with React + TypeScript frontend.
React TypeScript Solidity IPFS Ethers.js MetaMask
💊
Completed
MedicaLog · Medication Tracker
Server-first health tracking platform for medication adherence and lifestyle monitoring. Integrates Python-based AI pattern analysis with RAG to extract insights while enforcing strict non-clinical safety constraints.
Next.js TypeScript Prisma SQLite Python RAG
🌊
In Progress
RTMRA · Real-Time Multimodal RAG
System to ingest and reason over real-time data streams. Combines stream processing with embeddings and retrieval for continuous semantic understanding of live, evolving information sources.
Python Embeddings Vector DB Stream Processing APIs
🌊
In Progress
DocuQuery · Document Query System
AI-powered RAG platform for querying and managing private document fleets with intelligent retrieval, agentic workflows, and multi-format document support.
Python Tailwind-Shadcn stack pgvector RAG Groq OAuth Docker/vercel/render
04 / Skills

My tech
arsenal.

CORE
AI Systems Backend Engineering API Design System Design
AI ENGINEERING
RAG Pipelines Agentic Workflows Multi-Agent Systems Langraph LangChain Agent Orchestration MCP Servers Prompt Engineering Semantic Search
BACKEND
FastAPI Flask REST APIs Authentication Async Processing
DATA
MySQL SQLite Vector Databases Data Processing NumPy Pandas
Cloud & DevOps
AWS EC2 AWS S3 Git / GitHub Vercel
LANGUAGES
Python Scripting Languages SQL Java
Emerging Technologies
Cloud Architecture Distributed Systems Blockchain Development Smart Contract Development
05 / Contact

Let's build
something great
together.

Open to internships, collaborations, and interesting problems. If you're building at the edge of AI, cloud, or Web3 — I want to hear about it.

24f2004254@ds.study.iitm.ac.in
madhavmsoff030307@gmail.com
github.com/VampiricCyborg
linkedin.com/in/madhav-ms
leetcode.com/u/madhav_ms