- M.Tech in Computational and Data Science
NITK Surathkal (2022 - 2024) β 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
- π Building AI Agents to tackle business problems using RAG, LLMs, and Agentic AI
- π¦ Developing solutions for Traffic Forecasting, Time Management, and Financial Document Search
- π 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
- π Published researcher in medical AI with IEEE
- π Designed rank fusion strategies for vector-based document retrieval (RRF, LCRF, CombSUM)
- π§ Built multi-cloud deployable ML systems using Python, Flask, and REST APIs
- π§° IBM: Apache Hadoop Developer
- π’ MathWorks: Machine Learning & MATLAB Onramps
- βοΈ AWS: Certified AI Practitioner - Upskilling
π« Email: hitheshmr@gmail.com
π Portfolio: portfolio-hithesh-mr.vercel.app
π GitHub: github.com/hithesh-mr