Pranav Garg
Staff Applied Scientist at Datadog
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolPranav Garg is a Staff Applied Scientist with a decade of experience building production-grade ML systems and agentic GenAI features for enterprise applications, most recently shaping Amazon Quick Suite and agentic memory/personalization at AWS. He blends deep research expertise from a UIUC PhD in machine-learning-based automated program verification with hands-on engineering across code analysis, compilers, security, and large-scale anomaly detection. At AWS he led teams delivering GenAI code assistants, security scanning and automated remediation, and published work on hallucination detection and structural code search. Known for synthesizing static-analysis rules from examples and learning inductive invariants, he excels at turning formal-methods ideas into scalable products. Based in New York, he pairs scientific rigor with product focus and a tinkerer’s curiosity that surfaces in steady open-source and tooling contributions.
10 years of coding experience
17 years of employment as a software developer
Indian Institute of Technology KanpurDoctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at University of Illinois Urbana-Champaign
Stackoverflow
1reputation
0reached
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Github Skills (72)
api-specification10
java10
api9
opensearch9
specification9
deep-learning9
chat9
graph-convolutional-networks9
elasticsearch9
geometric-deep-learning9
pytorch9
restful9
search-engine9
analytics9
graph9
Programming languages (8)
Github contributions (5)
pgtgrly/Convolution-Deconvolution-Network-Pytorch
Nov 2017 - Nov 2017
Contributions:4 commits, 1 PR, 3 pushes in 2 days
semantic-segmentationdeep-learningcomputer-visionconvolutionalimage-processing
pgtgrly/GRruby-extension
May 2018 - Aug 2018
C Extensions to GR Framework
Contributions:72 commits, 4 PRs, 82 pushes in 2 months
extensionsc-extensions
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