Vasanth Kalingeri
Machine Learning Engineer at Meta
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolVasanth Kalingeri is a Machine Learning Engineer with 11 years of experience building production-grade ML systems that operate under real-world constraints, currently applying his expertise to ads at Meta in San Francisco. He has a strong track record in applied ML across domains—consumer devices (gesture recognition for Echo Buds), retail personalization at Stitch Fix, and industrial sensor and anomaly detection at GE—where his models have delivered measurable cost savings. Comfortable across the stack, he has built CI/CD model deployment pipelines, containerized distributed data pipelines, and integrated TensorFlow into production infrastructure. His background spans academic time-series research and practical product delivery, including building tools that expose tunable hyperparameters to non-ML users. Known for pragmatic problem solving, he blends deep learning and classical methods to ship reliable, high-throughput ML services.
11 years of coding experience
11 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at University of Massachusetts AmherstBachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at SJCE mysore
Kannada, Hindi, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (18)
regression10
machine-learning9
deep-learning9
scientific-computing9
nearest-neighbor-search9
optimization6
optimization-methods6
c-library5
optimizer5
kubernetes5
optimisation4
cpp4
gradient-descent3
numerical-optimization3
python2
Programming languages (2)
Github contributions (5)
vasanthkalingeri/CommercialDetection
Apr 2015 - Nov 2017
Contributions:153 commits, 2 PRs, 140 pushes in 2 years 7 months
gsockubernetes
vasanthkalingeri/vasanthkalingeri.github.io
Jun 2015 - May 2016
Contributions:1 push, 2 branches in 10 months
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