G Lal
Applied Scientist at Amazon
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolG Lal is an Applied Scientist with 11 years of experience building AI systems focused on agentic behavior, long-horizon planning, and model auditability. Based in Mountain View, he has led applied research and product-facing work at LinkedIn—developing personalized job recommendation models and tools to surface model failure modes and biases—and recently joined Amazon to push agentic AI forward. His background bridges strong academic training (IIT Bombay, UW–Madison, NUS exchange) with hands-on research in motion synthesis, wearable signal processing, and satellite engineering, reflecting uncommon breadth across signals, ML, and systems. Known for translating research into production-ready solutions, he combines deep sequence-modeling expertise with practical bias and fairness analysis to improve real-world AI behavior.
11 years of coding experience
7 years of employment as a software developer
Computer Science, Computer Science at University of Wisconsin-MadisonIndian Institute of Technology BombaySemester Exchange Computer Science, Semester Exchange Computer Science at National University of Singapore
English, Tamil, Hindi, Saurashtra
Stackoverflow
31reputation
3kreached
3answers
0questions
Github Skills (8)
random-forest8
regression6
machine-learning6
python6
profiling6
scikit-learn6
r6
xgboost5
Programming languages (1)
Github contributions (5)
groshanlal/TE2Rules
Apr 2022 - Nov 2022
Contributions:2 releases, 85 commits, 96 pushes in 7 months
groshanlal/NN2Rules
May 2021 - Jul 2022
Contributions:32 commits, 2 pushes in 1 year 2 months
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