Vyom Shrivastava
Senior Machine Learning Engineer at Etsy
Atlanta Metropolitan Area United States
Summary
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Senior🎓
Top SchoolVyom Shrivastava is a Senior Machine Learning Engineer based in the Atlanta area with nine years of experience designing and deploying fraud, risk, and product ML systems at scale. He has driven end-to-end solutions—from feature pipelines and automated training platforms to real-time inference—reducing model lifecycle times from months to weeks and materially cutting fraud losses and false positives. At Credit Karma and Catch he built fraud, churn, and engagement models (including community detection and anomaly detection) used for real-time decisioning and risk scoring, and more recently prototyped hybrid RAG architectures and LLM responsiveness for enterprise search. Now at Etsy, he blends practical MLOps and production ML expertise with a research-informed approach from his MS in Computer Science. Colleagues would note his pattern of turning messy, large-scale transaction data into robust, deployable models and automated workflows that directly impact business metrics. He often pairs classical techniques (TF-IDF, isolation forests) with modern neural approaches to optimize for latency, interpretability, and operational cost.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at University Institute of Technology, RGPVMaster of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at University of Georgia - Franklin College of Arts and Sciences
English, Hindi
Stackoverflow
41reputation
1kreached
1answer
1question
Github Skills (6)
apache-spark6
pyspark6
python6
ecommerce3
stylegan1
tensorflow1
Programming languages (2)
Github contributions (5)
ankit-vaghela30/Cilia-Segmentation
Mar 2018 - Apr 2018
Contributions:29 commits in 5 days
vyom1911/karigari
Jan 2020 - May 2020
Ecommerce/catalogue app for jewelery based on tutorials from Santos Enoque
Contributions:2 PRs, 23 pushes, 1 branch in 4 months
ecommerce
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