Roman Shraga
Machine Learning Staff at Faire
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolRoman Shraga is a machine learning staff engineer with nine years of experience building high-performance retrieval, ranking, and real-time ML systems for consumer products and commerce. He has led production ML efforts at Meta, Cash App, and now Faire, focusing on search relevance and risky-customer detection, and has deep experience deploying GPU-optimized models and tokenizers as an active contributor to the pytorch/text ecosystem. Earlier roles span clinical bioinformatics and applied reinforcement learning—delivering validated algorithms that improved patient matching and genomic variant detection—which reflect his ability to bridge rigorous validation with product impact. Comfortable in both startup and large-company environments, he blends hands-on model implementation with system-level thinking to ship scalable, measurable ML features.
9 years of coding experience
12 years of employment as a software developer
Bachelor of Arts (BA) Computer Science, Bachelor of Arts (BA) Computer Science at Brown UniversityStuyvesant High School
Russian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
pytorch10
machine-learning10
nlp10
testing9
deep-learning8
deeplearning-ai8
modeling8
python8
datasets7
Programming languages (1)
Github contributions (5)
pytorch/text
Oct 2022 - Jan 2023
Models, data loaders and abstractions for language processing, powered by PyTorch
Role in this project:
ML Engineer
ML EngineerContributions:13 reviews, 19 commits, 23 PRs in 3 months
Contributions summary:Roman primarily contributed to the implementation and integration of machine learning models within the PyTorch text processing library. Their work involved adding and refining tokenizers, specifically a Character Level BPE Tokenizer and DistilRoberta model. The user also focused on configuring and adding GPU-based testing for these models, ensuring compatibility and performance optimizations. Additionally, the user updated the multi30k dataset hash.
nlppytorchloadersdeep-learningdataset
rshraga/rshraga.github.io
Oct 2019 - Oct 2019
Contributions:15 pushes in 6 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.