Researcher first. Engineer next. Always a Learner.
Third-year CS + AI. I read the papers, then I ship the system.
I go deep before I build. When I pick up a problem I read the papers, trace the baselines, and find the gap. My PM2.5 forecasting work started with understanding why standard temporal models lose recall on extreme pollution events — the architecture came from that analysis, not the other way around. That research-first habit runs through everything I work on.
On the engineering side I close the gap between prototype and production. The SRE Incident Responder ran against real Redis and PostgreSQL with live state graders, not mocks. ARM-Gym put every generated assembly through three-stage hardware verification. I care about the distance between a working demo and a system that holds up under real conditions, and I close it deliberately.
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Won 3rd Prize at AISEHack 2.0, organised by IIT Madras with GalaxEye, ANRF and the Directorate of Higher Education, Government of Goa.
Selected from online qualifiers. 36-hour on-campus hackathon hosted by IIIT Hyderabad, IIT Delhi and IBM. Pitched a working ResGRU-UNet prototype to industry judges. Top 4 from 10 finalist teams.
Built an OpenEnv-compatible SRE incident responder simulating a production microservice cluster with real Redis and PostgreSQL. Selected as finalist.
IIIT-H × IIT Delhi × IBM pollution forecasting competition. Ranked #5 out of 77 teams to advance to the offline round.
Merged 6+ pull requests across open-source repositories — bug fixes, code-quality improvements and documentation.
Speech-recognition and intent-classification for a voice-controlled home automation platform, mapping spoken commands to structured device actions.
Currently open to internships and new-grad roles for 2026.