Nick Petosa
AI Research Scientist at Two Sigma
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolNick Petosa is an AI research scientist at Two Sigma with 11 years of experience applying deep learning to quantitative finance and real-world systems. A Georgia Tech MS and BS graduate with a perfect GPA, he has built production-ready ML tooling and research prototypes—from deep Q-learning trading agents and time-series classifiers to language-model fine-tuning and anomaly detection. His work spans both research and engineering: creating retrainable gradient-boosted pipelines, LSTM encoder-decoder models for data-to-text generation, and automated fraud-cluster classifiers deployed in large-scale environments. Based in New York, he blends academic rigor with hands-on implementation, often turning research ideas into packaged code and internal tools. Notably, his early projects include a published undergraduate contribution to quantum-chemistry infrastructure and mobile accessibility apps, showing a breadth that extends beyond finance-focused AI.
10 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Computer Science, 4.0, Bachelor’s Degree, Computer Science, 4.0 at Georgia Institute of Technology
English, Italian
Github Skills (45)
quantum-chemistry10
python10
computational-chemistry10
distributed-computing10
chemistry10
quantum-computing10
database10
yaml-configuration9
gomoku8
neural-style-transfer8
pytorch-lightning8
dataclasses8
reproducible-science8
othello7
monte-carlo-tree-search7
Programming languages (5)
Github contributions (5)
petosa/datadome
Oct 2017 - Oct 2017
Contributions:19 commits, 8 PRs, 12 pushes in 4 days
finrapythondata-sciencemachine-learningdata-challenge
petosa/chill-out
Sep 2019 - Dec 2019
Searching for freezing strategies that optimize transfer learning.
Contributions:42 commits, 2 PRs, 32 pushes in 2 months
pytorchfreezingtransfer-learningreinforcement-learningsearching
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