Data Science and Business Analytics @ UC San Diego · Applied AI and Agentic Systems · AI Intern @ Lightship Neuroscience · prev EY

I build LLM pipelines, AI agents, and ML systems that make it to production. Data Science and Business Analytics at UC San Diego, graduating June 2027. Currently AI Intern at Lightship Neuroscience, research assistant at the Rady School of Management under Professor Robert Sanders, and part of Dr. Lara Rangel's Neural Crossroads Lab.

Most of my work sits in AI/ML engineering and applied AI — building agents, pipelines, and models end to end. I'm also drawn to forward-deployed engineering, GTM engineering, and growth, where you sit close to the customer, build the thing, and see whether it actually moved a number.

• Applied AI: agentic systems, retrieval-augmented agents, structured extraction from unstructured text, automated evaluation and scoring pipelines
• Machine learning: forecasting, classification, geospatial modeling, and model interpretability
• Causal inference: identification strategy, difference-in-differences, and the endogeneity problem behind pricing models
• Full stack: FastAPI backends, Next.js and Streamlit frontends, PostgreSQL/pgvector and Supabase, deployed on GCP and AWS

• Lightship Neuroscience: AI Intern building LLM pipelines, retrieval-augmented agents, and automated evaluation systems. Designed a parameterized scoring rubric that replaced hand-tuned weights with measured ones.
• Rady School of Management: Research under Prof. Robert Sanders on retail pricing and product image data — field data collection, labeling infrastructure, and identification strategy for dynamic pricing.
• Neural Crossroads Lab: Built an ultrasonic vocalization detection pipeline for behavioral audio analysis, cutting manual annotation time substantially.
• Moores Cancer Center: Built Python ETL pipelines integrating REDCap, Epic, and FreezerWorks — reshaping flat clinical exports into structured per-aliquot records for biospecimen tracking.
• EY India: Demand forecasting across 200K+ FMCG products using Random Forest and SARIMA.
• DS3: Social & Fundraising Director for UCSD's 500+ member Data Science Student Society.
• UC San Diego: Provost Honors, 2026 Christine Norris Essay Award.

Core competencies: Agentic AI · RAG · LLMs & Prompt Engineering · Neural Networks · Generative AI · ETL Pipelines · Causal Inference · Hypothesis Testing · Quantitative Analysis · SDLC / UAT

Off the clock: chasing good coffee, logging every restaurant I eat at on Beli, and knowing far too many Bollywood dialogues by heart.