About
I'm a May 2026 Economics & Data Science graduate from UC Berkeley. I like working at the intersection of AI, strategy, and real business problems — building tools that actually change how teams make decisions.
At TCS I built an AI pricing agent across 5,000+ SKUs and got selected as one of three top interns out of 50+. At Deloitte I helped Fortune 500 MedTech clients find $50M+ in untapped market opportunity. I care about work that ships and numbers that move.
When I'm not at a laptop, I'm somewhere on a long run, deep in a chess game, or playing poker badly enough to stay humble.
Projects
Autonomous job search agent that scans job boards daily, scores fit against a personal profile, tailors resumes per role, drafts cover letters, and surfaces warm LinkedIn contacts — all on a schedule.
End-to-end AI agent analyzing supplier part attributes to estimate optimal pricing across 5,000+ SKUs. Projected 2–5% margin gains. Selected as top 3 intern of 50+ for business impact at TCS.
Interactive geospatial dashboards tracking real-time landslide probabilities. Improved detection precision 25–35% and extended early-warning lead times by 6–12 hours across multiple agencies.
Experience
Built an AI-driven pricing agent across 5K+ SKUs and a Vision AI proof-of-concept for warehouse operations. Translated outputs into exec-ready demos that secured pilot approval. Selected as 1 of 3 top interns out of 50+.
Supported commercial strategy for Fortune 500 MedTech clients. Built territory planning models, lead scoring tools, and a 1,800+ account BD toolkit. Identified 18–25% regional growth potential and supported 2 active RFPs.
Designed interactive landslide-risk dashboards improving detection precision by 25–35%. Built a daily early-warning system deployed across multiple agencies, reducing response costs by 15–20%.