Kaustubh Vartak
Software Engineer at Meta
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolKaustubh Vartak is a seasoned software engineer with 12 years of experience building low-latency, resilient distributed systems, currently applied at Meta in New York. His background includes designing high-throughput data distribution and monitoring services at Bloomberg, where he tackled concurrency, network failure modes, and cache management at scale. He previously accelerated delivery at Nomura, mentoring new hires and shipping multiple production applications early in his tenure. With an MS in Computer Science from SUNY Buffalo and deep hands-on expertise across networking and multithreaded architectures, he brings a pragmatic approach to solving CAP and performance trade-offs. Not actively seeking opportunities, he nonetheless balances rigorous engineering with mentorship and operational reliability.
12 years of coding experience
10 years of employment as a software developer
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at State University of New York at BuffaloBTech, Computer Science, BTech, Computer Science at VJTI
English
Github Skills (17)
pytorch10
recommendation-system10
python10
acceleration10
machine-learning10
sharding10
numpy10
deep-learning10
tensorflow10
gpu10
recommender-system10
autograd10
neural-network10
cuda10
tensor10
Programming languages (2)
Github contributions (5)
kausv/pytorch
Jan 2022 - Jan 2025
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:7 pushes, 3 branches in 3 years
pythongpu-accelerationdeep-learninggpuacceleration
kausv/torchrec
Sep 2024 - Apr 2025
Pytorch domain library for recommendation systems
Contributions:34 pushes, 13 branches in 6 months
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