I’m an AI engineer and M.S. student at SJSU, focused on building LLM-based agents and the systems around them. I also enjoy working across the ML pipeline from cleaning and preparing data to training, evaluating, and deploying models. Always happy to talk shop. Let’s talk.
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A quick assistant that answers questions about my work and background.
Selected Projects
ML pipeline for bankruptcy risk — benchmarked Logistic Regression, Random Forest, and XGBoost across 9 class-imbalance techniques (F1 +40–60%), with threshold/cost analysis and isotonic-calibrated risk scores.
Cloud analytics pipeline on GCP — a Streamlit uploader lands files in Cloud Storage, a Cloud Function loads BigQuery via a star schema (40% faster queries), surfaced in a 7-chart Looker Studio dashboard.
Full-stack social film catalogue — ratings, reviews, diaries, ranked lists, feeds, and recommendations across 25+ REST endpoints. Colocating backend and DB in AWS us-east-1 cut query latency from ~70 ms to ~1 ms.
GPU-free RAG pipeline for research-paper Q&A and summarization — semantic retrieval over FAISS grounds Llama 3.1 (via Groq) with source citations and map-reduce summaries for long documents.
Stack
Contact
Open to AI engineering roles and collaboration. Reach out about technical work or interesting problems.