Vaibhav Agrawal
Berkeley, California, United States
Summary
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RockstarVaibhav 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
Github Skills (26)
distributed-training10
slurm10
cloud-computing10
python10
job-scheduler10
supercomputer10
spot-instances10
machine-learning10
cost-optimization10
large-language-models10
multicloud10
tpu10
huggingface-transformers10
mlops10
deep-learning10
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
vaibagra/VedaLearn
Nov 2020 - Dec 2023
Contributions:20 pushes, 1 branch in 3 years 1 month
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