Led the design and deployment of production-grade LLM-powered AI agents and enterprise automation systems to support Sales and Logistics teams, enabling fast factory data retrieval, automated PO validation, and real-time responses to strategic customers such as Tesla.

Prototyped a location-based social discovery app for Gen Z newcomers, focusing on nearby user and event-based recommendations; designed the backend (Node.js / Flask), REST APIs, and real-time matching workflows; drove 80+ user interviews and rapid iterations.

Built an interactive MVP demo showcasing personalized AI-assisted interactions and geospatial recommendations, and presented the product to early-stage investors.

Built a doctor recommendation system using collaborative filtering on treatment history and patient profiles.

Developed NLP pipeline for extracting patient concerns → improved appointment matching CTR to 73%.

Designed CV pipeline for X-ray triage; boosted efficiency 85% with 78% model accuracy.

Conducted A/B tests to evaluate different insurance product variants and identify optimization levers based on conversion, churn, and retention metrics across key states (e.g., Texas).

uilt predictive insurance models (XGBoost, RF, Logistic Regression), achieving 0.95 validation score.

Created Tableau dashboards to visualize product KPIs and customer segments.