AI enthusiast building intelligent automated systems.
Data pipelines, ML workflows, and production-ready solutions.
Career
Data Analyst
Creative Lead
AI/ML Intern
iOS App Development Intern
SWE Intern
Background
B.Tech in Computer Engineering
Gandhinagar, India
IEEE International Conference on Machine Learning & Data Science • 2022
Six-model stack achieving ~82.68% accuracy on PIMA dataset.
IEEE International Conference • 2021
Comparative analysis of CPU scheduling algorithms with priority queue optimization.
Production-ready computer vision pipeline processing soccer videos at 22 FPS with real-time tracking, automated retraining, and REST API deployment.
Next-gen sports analytics pipeline combining 4 SOTA models (RF-DETR, SAM2, SigLIP, ByteTrack) with modular architecture enabling rapid experimentation and benchmarking.
Production ML framework applying graph neural networks to molecular property prediction, processing 10K+ compounds with extensible pipeline integrating PyTorch Geometric and bioinformatics toolkits.
Production web archiver monitoring 100+ sites every 2 hours with automated change detection, full-text search across 50K+ snapshots, and zero-downtime deployment.
Production multi-agent research automation system built in 10 days, orchestrating 5+ specialized AI agents with LangGraph to autonomously synthesize 20-page research reports from raw queries.
Personal knowledge assistant processing 1K+ screenshots with OCR, embedding 100K+ text chunks for semantic search, retrieving context in <200ms with vector similarity.
Skills
Technologies I've been building with lately.
Currently open to full-time roles and select freelance projects.