Summary
Nicholas Garcia is a software engineer with six years of hands-on experience building production-grade AI and data systems, currently a Member of Technical Staff in San Francisco. An MIT CS graduate, he helped launch Databricks Mosaic’s finetuning platform for Llama 3.1 and led end-to-end products for model specialization and information extraction. His background spans large-scale performance engineering—e.g., a 70x speedup of a CSAIL QA pipeline using Redis caching and parallel processing—and improving test sampling at Google to cut regression runtime fourfold. Comfortable across research and product engineering, he bridges model development, platform integration, and scalable data engineering. Known for shipping cross-team integrations, he’s seeking roles that combine computer science and finance where algorithmic rigor meets real-world deployment.
6 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Science and Engineering, 5.0/5.0, Bachelor of Science - BS, Computer Science and Engineering, 5.0/5.0 at Massachusetts Institute of Technology
High School Diploma, High School Diploma at Vista del Lago High School