Smart India Hackathon
Internal round qualifier among 154 teams with SIFSentinel for Oil India Limited.
AI/ML Engineer · Agentic AI · MLOps
I build things, break things, learn new things, and occasionally make something cool.
Ideas become interesting when they leave the notebook.
An observe–analyze–approve–execute–verify–recover workflow for scheduling and resource conflicts, with human approval for consequential actions.
Finding serious-injury and fatality precursors in incident reports, connecting semantic retrieval with risk-aware safety analytics.
A classroom attendance and analytics system combining face embeddings, cloud-backed records, and natural-language insights.
I’m a Computer Science undergraduate at GITAM University, Hyderabad, interested in building intelligent systems that bring machine learning, software engineering, and infrastructure together.
I like understanding how things work—from model behavior and semantic search to the systems that keep an application reliable in production. My work spans AI-powered safety intelligence, agentic workflows, NLP, and computer vision. I enjoy building end-to-end: models, APIs, dashboards, and deployment.
Before GITAM, I studied Mathematical & Physical Sciences at the University of Toronto, where I made the Dean’s List in 2023.
Always learning. Never collecting tools just to collect them.
Internal round qualifier among 154 teams with SIFSentinel for Oil India Limited.
Built Slidesmart, an AI-powered tool for turning long videos and documents into presentation slides. · Major League Hacking
Built tPay, a face-recognition payment authentication prototype. · University of Toronto
Contributed to Weed Detech, a computer-vision application for weed detection and localization.
B.Tech in Computer Science · Hyderabad, India