MS Applied Data Science candidate at the University of Chicago with experience building production-grade data science and generative AI systems. I have worked on LLM-based retrieval systems, large-scale data pipelines, and applied machine learning across e-commerce, capital markets, and autonomous systems.
Previously at Evoke Technologies, Argonne National Laboratory, and Prodapt, where I focused on model development, evaluation, deployment, and analytics at scale. Strong foundation in Python, SQL, cloud platforms, and MLOps, with hands-on experience translating research into reliable systems.
Actively seeking full-time data science or machine learning roles at product-focused teams where rigor, scale, and impact matter.