- M.Tech in Computational and Data Science
NITK Surathkal (2022 - 2024) — Graduated with Distinction - B.Tech in Mechanical Engineering
NIE Mysore (2017 - 2021)
- First Author, From Pixels to Prognosis: Exploring from UNet to Segment Anything in Mammogram Image Processing for Tumor Segmentation
Published at IEEE CONIT 2024
DOI: 10.1109/CONIT61985.2024.10626911
- 🔭 Building AI Agents to tackle business problems using RAG, LLMs, and Agentic AI
- 🚦 Developing solutions for Traffic Forecasting, Time Management, and Financial Document Search
- 📄 Working with PostgreSQL (pgvector), OpenAI API, LangChain, and Cloud Platforms
- GenAI, RAG & Agentic AI Systems
- Road Traffic Flow Analysis and Prediction
- Automated Timesheet Systems (Jira + Azure OpenAI)
- Medical Imaging (Tumor Segmentation with SAM/U-Net)
- Knowledge Graphs and Vector Search
- Geospatial Visualization (Mapbox, Turf.js)
- End-to-End AI/ML System Design & Deployment
- 📄 Published researcher in medical AI with IEEE
- 🔍 Designed rank fusion strategies for vector-based document retrieval (RRF, LCRF, CombSUM)
- 🔧 Built multi-cloud deployable ML systems using Python, Flask, and REST APIs
- 🧰 IBM: Apache Hadoop Developer
- 🔢 MathWorks: Machine Learning & MATLAB Onramps
- ☁️ AWS: Certified AI Practitioner - Upskilling
📫 Email: hitheshmr@gmail.com
🌐 Portfolio: portfolio-hithesh-mr.vercel.app
🔗 GitHub: github.com/hithesh-mr