Washington, District of Columbia, United States
With over 6 years of experience driving impact across healthcare, business intelligence, and supply chain optimization, I specialize in building intelligent systems that transform complex data into real-world solutions. Completed master's in Data Science at The George Washington University. I’ve collaborated with the Facebook AI Research team to contribute to the development of PyTorch and TorchServe, and have built LLM-powered agents and chatbots for the finance and healthcare industries. My expertise includes automatic ETL extraction from unstructured data using large language models, alongside a solid foundation in computer vision, NLP, statistical analysis, and data engineering. My journey is backed by hands-on training from Udacity, Coursera, Stanford, and MIT, where I developed scalable and production-ready ML solutions.
•Led a team to build LLM-driven auto-scripters to streamline ETL from messy financial text, achieving a 70% reduction in manual processing. •Built PII anonymizer for bank docs using LLMs (Qwen3, Phi-4) and deployed them with vLLM, reducing manual redaction by 80%.
• Leader of the sustainable development research and consulting branch of GW’s Data Science Association. • DSSD is a 501(c)3 certified non-profit, to GW to offer undergraduate and graduate data science students the opportunity to gain real-world sustainable development experience
Performed geospatial calculations and create a dashboard with interactive maps to visualize war-damaged windows in Ukraine to aid the government in replacement efforts.