Available for work

Chinmay
D M

AI & Machine Learning Engineer

Building intelligent systems that bridge research and production. Specializing in agentic AI, RAG pipelines, and computer vision.

Bangalore, India
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// About Me

Crafting AI Solutions

I'm an AI and software engineering student with a passion for building intelligent systems that make a real impact. My expertise spans from developing sophisticated RAG pipelines to creating real-time computer vision applications.

Currently in my 3rd year at BMSIT, I've already shipped multiple award-winning projects and maintain 17+ public repositories. I focus on creating reliable, scalable, and research-oriented AI solutions with clean engineering practices.

PythonPyTorchFastAPITypeScriptAzureDocker

AI & ML Focus

Specializing in agentic AI systems and RAG pipelines

Full-Stack

Building end-to-end solutions from research to production

Academic

B.Tech in AI/ML at BMSIT (2023-2027)

Innovation

Multiple hackathon wins and 17+ open source repos

// Technical Skills

My Tech Stack

Technologies I use to bring ideas to life

Languages

Python
Python
TypeScript
TypeScript
JavaScript
JavaScript
Java
Java
C
C
SQL
SQL

Frameworks & Libraries

PyTorch
PyTorch
FastAPI
FastAPI
Flask
Flask
React
React
Next.js
Next.js
Pandas
Pandas
NumPy
NumPy

Tools & Platforms

Git
Git
Azure
Azure
Docker
Docker
VS Code
VS Code
Jupyter
Jupyter
Vercel
Vercel

// Selected Work

Featured Projects

AgriGain

Agentic AI for Agricultural Waste Processing

Built an agent-driven AI system combining 400+ research papers, market data ingestion, and ROI computation with modular orchestrators and reproducible tests.

1st Prize - ImpactX (RNSIT)
3rd Prize - hack.io (KSSEM)
Agentic AIRAGPythonFastAPI

NetCDF RAG Pipeline

Scientific Retrieval-Augmented Generation

Developed a RAG system for interpreting scientific NetCDF spatial-temporal datasets with preprocessing, embeddings, vector search, and LLM reasoning.

RAGAzurePythonLLM

OpenGazeX

Real-Time Eye Gaze Tracking

Created a real-time gaze estimation pipeline using deep learning and classical CV with landmark extraction and live webcam inference.

Computer VisionPyTorchOpenCVDeep Learning

Plant Disease Detection

CNN-based Classification Pipeline

Built a disease classification system with real-time webcam and upload support for agricultural applications.

PyTorchCNNComputer Vision

// Achievements & Experience

Milestones & Impact

17+
Public Repos
3+
Hackathon Wins
400+
Research Papers Processed
2024
Active Contributor

Hackathon Wins

  • 🥇 1st Prize — ImpactX (RNSIT)
  • 🥉 3rd Prize — hack.io (KSSEM)
  • 🏆 Winner — Neuronova Hackathon

Leadership

  • Treasurer — Brainium Club, BMSIT (2024-Present)
  • Organized ML workshops and tech events
  • Managed club operations and initiatives

Education

  • B.Tech in AI & ML — BMSIT (2023-2027)
  • Coursework: ML, Deep Learning, Computer Vision
  • Data Structures & Web Development

Open Source

  • 17+ public repositories maintained
  • AI, CV, RAG systems, and full-stack projects
  • Active contributor to practice repos

// Get In Touch

Let's Work Together

I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.

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