BhargavShekokar.
Software Engineer — AI & Full-Stack Developer
A software & AI engineer building thoughtful, fast, end-to-end projects to unlock new possibilities in the digital landscape.
I'm an engineer with a focus on AI systems and product-grade software. Over the last few years I've practiced with tools that bridge machine learning research and real users — from RAG pipelines to interactive front-ends. I care about craft, restraint, and shipping things that feel inevitable.
Notable Achievements
Ranked among Top 25 Fastest Coders
HackOn with Amazon - Season 5 (pan-India)
Secured 3rd Place
Inter IIT Tech Meet 13.0 (ISRO Data Challenge) among 23 IITs
Achieved AIR 22xx
JEE Advanced 2023 (Top 1.2% of 180,000+ candidates)
Selected Work
MediHelp Healthcare Platform
Microservice-based healthcare platform supporting real-time ambulance dispatch, appointment scheduling, and secure doctor-patient consultations.

AlgoViz: Interactive ML Visualization Platform
Interactive visual analytics platform supporting 10+ ML algorithms including Decision Trees, SVM, K-Means, PCA, ANN, and DBSCAN with dynamic parameter tuning.

QueryLens: High-Performance Analytical Engine
Research-grade query engine featuring Segment Trees, Lazy Propagation, Fenwick Trees, and B+ Trees, achieving logarithmic-time analytical queries with an interactive D3.js visualization workspace.

RAKD: Resolution-Agnostic Knowledge Distillation for Remote Sensing Imagery
Cross-resolution knowledge distillation framework for rotated object detection, enabling lightweight models to achieve high accuracy on remote sensing imagery while maintaining real-time inference performance.

Experience
Summer Pod Intern
Oracle
- — Making Agentic Framework Integrations with Oracle 26ai
- — MultiAgent Runtime Systems
Research Intern, Computer Vision & Generative AI
IIT Hyderabad
- — Built a pipeline generating 300+ autonomous driving videos
- — Integrated Video Diffusion + ControlNet for weather transitions
- — Automated preprocessing, generation, and post-processing
Project Team Member
Inter IIT Tech Meet 13.0 (ISRO)
- — Developed a real-time satellite data processing pipeline
- — Reduced backend data latency by 33%
- — Built a Digital Twin for trajectory-based mapping simulation