Subha Das is a software engineer focused on systems for AI/ML, operating systems, distributed systems, and NLP, with seven years of hands-on experience across industry and research. Currently pursuing a master's in Computer Science at Georgia Tech with a 4.0 GPA, she has interned at Amazon and AWS working on Alexa Enterprise LLM fundamentals and AWS Q Actions, and contributed to autonomous driving research through Georgia Tech's VIP program. Her background includes building Virtual Desktop Infrastructure at Lawrence Livermore National Laboratory, demonstrating practical expertise in large-scale system deployment and HPC-adjacent environments. Comfortable bridging research and production, she combines low-level systems interests (OS, compilers) with applied ML workflows and distributed system design. Based in Pleasanton, CA, she brings a research-driven mindset to engineering problems and a track record of shipping features in high-stakes, distributed systems contexts.
7 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, 4.0, Master's degree, Computer Science, 4.0 at Georgia Institute of Technology
High School Diploma, General Studies, Junior, High School Diploma, General Studies, Junior at Amador Valley High School
Contributions:50 commits, 44 pushes, 1 branch in 19 days
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