Summary
Vaibhav Tulsyan is a research software engineer based in the San Francisco Bay Area with 8 years of experience bridging research and production at scale. He currently advances Gemini initiatives at Google DeepMind, focusing on improving foundational AI systems, after previously building large language model-based code generation and ML-assisted writing tools for Google Docs and Gmail. His career includes mentoring GSOC students on Python compiler optimizations and leading teams at CodeNation to deliver automated refactoring and program verification tools. He has cultivated experience across Google, NVIDIA, Mozilla, and startup environments, reflecting a blend of research rigor and production-grade software engineering. He holds a BEng in Computer Science from Pune Institute of Computer Technology and maintains active involvement in open-source ecosystems. He combines hands-on coding with mentorship and leadership to scale impact in fast-moving, multi-disciplinary teams.
8 years of coding experience