Deep Vyas
Engineer at Stripe
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolDeep Vyas is an engineer with 10 years of experience building large-scale, cloud-native systems and applied machine learning solutions, currently shaping DocDB infrastructure at Stripe. He has driven platform and resiliency work for core banking and risk systems at ONE and helped modernize database migrations and assessment tools on Azure at Microsoft. His background spans on-device deep learning at Samsung Research to cloud platform services and MongoDB-heavy operations at Goldman Sachs, reflecting a blend of ML, databases, and operational engineering. Deep focuses on performance, operational resilience, and abstractions that enable non-technical teams to deploy risk policies and scale services reliably. Based in Bengaluru and trained at BITS-Pilani, he pairs research curiosity with production-grade delivery and a proven track record in both platform engineering and applied ML. An often overlooked strength is his cross-domain fluency—translating deep learning research into deployable systems and then into resilient, auditable platform services.
10 years of coding experience
7 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (55)
data-studio10
azure-sql-database10
azure-sql10
cosmosdb10
azure-sql-server10
azure-data-studio10
sql-server10
powerbi10
postgresql9
microsoft9
electron9
data-management9
linux9
typescript9
sql9
Programming languages (5)
Github contributions (5)
deepvyas/Verilog-Snippets
Sep 2016 - Nov 2017
Contributions:24 commits, 5 PRs, 12 pushes in 1 year 2 months
verilogpartialbits-pilanisnippetsbits
deepvyas/deepvyas.github.io
Apr 2018 - Apr 2022
Contributions:12 commits, 15 pushes, 1 branch in 4 years
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