Kartikay Garg
Quantitative Researcher
Gurugram, Haryana, India
Summary
👤
Senior🎓
Top SchoolKartikay Garg is a Quantitative Researcher with nine years of experience applying mathematics and computer science to finance at Graviton Research Capital, backed by a dual Bachelor's/Master's from IIT Delhi. He combines strong algorithms and systems programming skills in Python and C++ with practical ML experience—having built end-to-end NLP pipelines and document-structure models during internships at Adobe and implemented interactive client features at Microsoft. His research background includes copula-based portfolio modeling and stress-aware risk measures, reflecting a comfort with both theoretical risk frameworks and production implementation. Based in Gurugram, he blends rigorous academic training with hands-on trading research, often translating complex probabilistic insights into performant code. Notably, his profile signals a rare mix of deep quantitative modeling and low-level implementation fluency, enabling him to own models from theory through deployment.
9 years of coding experience
Indian Institute of Technology Delhi (IIT Delhi)High School, Mathematics and Science, 97.6 %, High School, Mathematics and Science, 97.6 % at Delhi Public School, Panipat Refinery
Github Skills (37)
pytorch10
python10
data-science10
mahjong10
machine-learning10
deep-learning10
trading9
reinforcement-learning9
bitcoin9
tensorflow9
unity3d9
jax9
serve9
deep-reinforcement-learning9
intelligent8
Programming languages (2)
Github contributions (5)
samre12/deep-trading-agent
Sep 2017 - Jun 2018
Contributions:49 commits, 2 PRs, 47 pushes in 8 months
trading-agentagentreinforcement-learningdeep-reinforcement-learningmachine-learning
samre12/gym-cryptotrading
Apr 2018 - Jun 2018
OpenAI Gym Environment API based Bitcoin trading environment
Contributions:15 commits, 2 PRs, 8 pushes in 1 month
stable-baselinesmahjonggymtrading-simulatortrading-environment
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