Saksham Sharma — Director of Engineering
Design and implement low latency and high-throughput trading and research systems for Limestone trading team's global strategies. My work covers all parts of trading, from systems design and development, quant research, modeling, all the way to deployment of the strategies. I am skilled in a wide variety of computer science subdomains, and work extensively in C++ and Python. I am also a member of WG21 - the ISO C++ standardization committee, and the Boost foundation. Talk to me about scaling ML research systems, or developing low latency C++ trading systems. Previous life: Programming Languages research, Functional Programming, Cloud and Security. Homepage: https://sakshamsharma.com Github: https://github.com/sakshamsharma Google Scholar: https://scholar.google.co.in/citations?user=M1Nz-qsAAAAJ&hl=en
Stackforce AI infers this person is a Fintech expert with strong capabilities in quantitative research and high-performance systems.
Location: New York, New York, United States
Experience: 8 yrs 8 mos
Skills
- Quantitative Research
- High Performance Trading Systems
- Kubernetes
- Security Hardening
- Scala
- Mathematical Expression Optimization
- Full Stack Development
- Web Applications
Career Highlights
- Expert in low latency trading system design.
- Significant contributions to Kubernetes security features.
- Published research on mathematical expression optimization.
Work Experience
Tower Research Capital
Director, Quantitative Research Technology (7 yrs 8 mos)
Software Engineering Intern (2 mos)
Max Planck Institute for Software Systems
Research Fellow (2 mos)
Indian Institute of Technology, Kanpur
Full Stack Developer (11 mos)
Education
Bachelor of Technology (B.Tech.) at Indian Institute of Technology, Kanpur