Rafael Jin
Software Engineer at Tower Research Capital
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRafael Jin is a software engineer with five years of experience building high-performance systems for quantitative trading firms, currently contributing at Tower Research Capital after earlier engineering roles at Akuna Capital. Trained at Tsinghua (BS Computer Science) and NYU (MS Computer Engineering), he blends rigorous academic foundations with production-focused engineering in low-latency, scalable environments. His GitHub focus on machine learning infrastructure and systems engineering indicates strength in bridging model tooling with robust runtime platforms. Comfortable across systems, networking, and ML infra, he brings a pragmatic, performance-first mindset to architecting reliable pipelines and services in fast-paced, data-intensive teams.
4 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at New York UniversityBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Tsinghua University
Chinese, Portuguese, English, Spanish
Github Skills (37)
simulation10
distributed-training10
ai-agent10
python10
silo10
machine-learning10
inference-engine10
analytics10
large-scale10
security10
cross-device10
privacy10
marketplace10
scale10
mlops10
Programming languages (3)
Github contributions (5)
Raphael-Jin/FedML
Feb 2023 - Jun 2023
FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled (https://open.fedml.ai).
Contributions:107 pushes, 18 branches in 3 months
Raphael-Jin/Go-gRPC-Services
Dec 2022 - Jun 2023
Contributions:6 pushes, 1 branch in 5 months
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.