MS Data Science @ SDSU · Data Engineer → ML Engineer · LLMs · Backends · AI Systems

I’m a graduate researcher at San Diego State University working across:

• LLMs & AI systems — knowledge-grounded chatbots, LLaMA/KBLaM fine-tuning, eval pipelines
• Data engineering — ETL, PySpark, Airflow, Databricks, Snowflake, AWS
• Applied ML — time-series, anomaly detection (WGAN), geospatial analytics

Before grad school, I spent 4+ years building enterprise data platforms in finance, healthcare, and manufacturing.

I also enjoy product building — from research lab websites to catalogue webapps to an iOS + voice-chat interface for a mental-health chatbot.

• A mental-health support chatbot for construction workers — LLM backend (KBLaM + LLaMA), iOS app, and voice-chat interface
• Web apps including the SDSU LINC Research Lab website and Lovique-Studio catalogue application
• Evaluation pipelines + FastAPI backend services for knowledge-grounded LLMs

• Deep learning & LLM fine-tuning (LoRA/QLoRA)
• RAG and AI agents/workers
• Backend engineering with Python + FastAPI
• Azure Foundry for ML deployment

• Looking to collaborate on:
  AI apps, LLM-based systems, ML pipelines, and OSS projects

• Looking for help with:
  System design, scalable ML infra, MLOps, and open/free resources for AI prototyping

• LLaMA / KBLaM fine-tuning
• Databricks · PySpark · Airflow · Snowflake · AWS
• FastAPI · Python backends
• Time-series & geospatial analytics
• Building ML systems end-to-end

I take my work seriously, but not myself.
Also, I’m a photographer who can code, watch YouTube, and scroll Instagram at the same time — peak multitasking energy.