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gee-46/README.md
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Gautam N Chipkar

AI Engineer โ€ข Generative AI โ€ข LLMs โ€ข Computer Vision

ย 

๐Ÿง  Who I Am

Final-year AI & Data Science student at SGBIT, Belagavi โ€” building systems that make LLMs actually useful: grounded, retrieval-aware, and production-ready.

I don't just use frameworks โ€” I build under them to understand every layer. Currently focused on RAG systems, Computer Vision pipelines, and getting them to production with FastAPI.

3ร— National Hackathon Finalist ๐Ÿ†

Looking for: Remote roles as AI Engineer ยท ML Engineer ยท AI Research Intern


๐Ÿ”จ What I'm Building Right Now

Modular RAG System โ€” no LangChain, built from scratch

My main focus. I want to know exactly what's happening at every step โ€” so I skipped the abstractions.

User Query
    โ†“
Sentence Embeddings  โ†  SentenceTransformers
    โ†“
FAISS Vector Search  โ†’  Top-K Relevant Chunks
    โ†“
Context Construction
    โ†“
Local LLM (Ollama)  โ†โ†’  OpenAI  [pluggable backend]
    โ†“
Grounded Answer โ€” hallucination significantly reduced

Currently working on:

  • Chunking strategies โ€” sliding window and semantic-aware splitting
  • Retrieval quality benchmarking across chunk sizes
  • FastAPI deployment layer

Why from scratch? I wanted to understand what LangChain actually does. Now I do.


๐Ÿš€ Featured Projects

๐Ÿ™๏ธ SlumSafe AI



AI-driven urban safety assessment that identifies risk zones in informal settlements using computer vision + geospatial data. Built end-to-end in 24 hours at Presidency University's International Tech Fest.

๐Ÿšข HarborPulse



AI-powered smart harbor coordination platform โ€” vessel scheduling, anomaly detection, port operations optimization. Built with Team Neural Capitals at BIT Mangalore.



Ask natural language questions about disaster imagery and get answers grounded in what the model sees โ€” not what it was trained to assume. Built on BLIP with a modular model-swap architecture.

๐Ÿ–๏ธ Gesture Volume Control



Control system volume with hand gestures โ€” no keyboard, no mouse. Real-time hand landmark tracking via MediaPipe mapped to system audio using PyCAW. Works out of the box on CPU.


๐Ÿ› ๏ธ Tech Stack


Area Tools
AI / ML PyTorch ยท TensorFlow ยท scikit-learn ยท SentenceTransformers ยท HuggingFace Transformers
Retrieval & Search FAISS ยท Semantic Chunking ยท Embedding Pipelines ยท Ollama
Computer Vision OpenCV ยท MediaPipe ยท BLIP
Backend FastAPI ยท REST APIs
Data Pandas ยท NumPy ยท Matplotlib
Languages Python ยท SQL

๐Ÿ… Recognition

Event Result
๐Ÿฅ‰ INNOVATEx 4.0 โ€” International Tech Fest, Presidency University Bangalore 4th Place / 100+ teams
๐Ÿ… BIT Techverse'26 โ€” 24hr Hackathon, BIT Mangalore Top 8 / 140+ teams
โญ Summerschool Hackathon โ€” Organized by Skilstation Best Performance Recognition ยท Top 500 / 2000+ teams ยท Advanced to Round 2

๐ŸŽ–๏ธ Certifications & Badges







๐Ÿค– Microsoft AI Skills Fest 2026 โ€” Develop Your First Agent with Microsoft Foundry

Completed Microsoft's official learning path on building AI agents โ€” going beyond content generation into intelligent systems that reason, act, and assist.

Area What I Learned
๐Ÿง  Generative AI & Agents Fundamentals of GenAI, agent architectures, and how AI agents differ from traditional models
๐Ÿ—๏ธ Microsoft Foundry Platform capabilities, how it enables end-to-end agent development at scale
๐Ÿ› ๏ธ Developer Tools & SDKs Agent-building workflows, toolchains, and SDK usage for building production-ready agents
โš™๏ธ AI-Powered App Design Designing and building applications where AI agents drive core functionality
๐Ÿš€ Real-World Automation How agents can automate tasks, enhance productivity, and solve practical challenges

Key takeaway: AI is no longer just about generating content โ€” it's about creating intelligent systems that can reason, act, and assist users effectively.


๐Ÿ“Š GitHub Activity


๐Ÿ Contribution Activity


๐Ÿ† GitHub Trophies


๐Ÿ“ Latest Gists


๐Ÿ“ฌ Let's Talk

I'm actively looking for remote roles โ€” AI Engineer, ML Engineer, Research Intern. If you're building something where understanding the system matters, let's connect.


I debug for fun. That's either a green flag or a red flag depending on your team culture.

Pinned Loading

  1. SlumSafe-AI SlumSafe-AI Public

    Built for InnovateX 4.0, SlumSafe AI secured 4th place out of 100 teams at the International Tech Fest, standing among the top 10 finalists. A 24-hour sprint that turned ideas into impact and efforโ€ฆ

    Python 4

  2. NEURAL-CAPITALS-HarborPulse NEURAL-CAPITALS-HarborPulse Public

    ๐Ÿšข HarborPulse is an AI-powered smart harbor coordination platform built by Team Neural Capitals at BIT Techverseโ€™26, securing Top 8 among 140+ teams.

    JavaScript 2

  3. -Disaster-VQA-Response-System -Disaster-VQA-Response-System Public

    "An adaptable, AI-powered Disaster VQA system that performs real-time visual assessment of disaster imagery. By defaulting to the highly efficient BLIP model for rapid inferenceโ€”while maintaining fโ€ฆ

    CSS 9

  4. gesture-volume-control gesture-volume-control Public

    Real-time gesture-based microphone volume control using MediaPipe, OpenCV & PyCAW โ€” enabling touchless human-computer interaction.

    Python 9

  5. mannmitra-2.0 mannmitra-2.0 Public

    TypeScript 9 1