Vaibhav Agrawal
Co-Founder CTO at BaseFrame (YC W26)
Berkeley, California, United States
Summary
🤩
Rockstar🎓
Top SchoolVaibhav Agrawal is a founder-CTO and UC Berkeley computer science student with a decade of engineering experience building ML-driven products and developer tools. He currently leads BaseFrame (YC W26), which automates workplace tasks by mining historical on-device data to identify per-employee automation opportunities. His background blends applied research from Berkeley’s RISE Lab and DeepSea with production ML and NLP work at Amazon and Refuel, plus systems and query-lifecycle engineering at Sigma. Vaibhav has run cross-functional teams from a 200-person student festival to startup engineering groups, pairing product instincts with hands-on model training in PyTorch/TensorFlow. He’s completed a venture rotation at Sutter Hill and shipped features around remote agents and next-edit workflows, showing a strong bias toward end-to-end delivery. Comfortable at the intersection of research and product, he tends to favor practical loss-function tweaks and data-centric automation that unlock immediate user impact.
10 years of coding experience
5 years of employment as a software developer
Bachelor's, Computer Science, Bachelor's, Computer Science at University of California, BerkeleyY CombinatorHigh School Diploma, Computer Science, Physics, Chemistry, Mathematics, High School Diploma, Computer Science, Physics, Chemistry, Mathematics at Seth Anandram Jaipuria School
Github Skills (26)
distributed-training10
cloud-computing10
python10
langchain10
data-science10
job-scheduler10
spot-instances10
machine-learning10
cost-optimization10
multicloud10
tpu10
huggingface-transformers10
cost-management10
deep-learning10
gpu10
Programming languages (3)
Github contributions (5)
Vaibhav2001/Vaibhav2001.github.io
Mar 2019 - Jan 2020
Build a Jekyll blog in minutes, without touching the command line.
Contributions:322 pushes in 9 months
jekyll-blogjekylljekyll-thememinutes
Vaibhav2001/skypilot
Oct 2023 - Feb 2024
SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
Contributions:57 pushes, 6 branches in 3 months
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