About me / links

I’m Saksham Sharma, a Computer-Scientist turned Quant, and Director of Quantitative Research Technology at Tower Research Capital LLC, based out of New York. I lead our efforts on improving Machine Learning system performance for financial trading, while designing extremely low-latency trading systems and developing complex algorithmic trading strategies for global financial instruments that trade hundreds of millions of USD daily. Through my work, I help design, run, and scale Tower’s quantitative trading strategies competitively across all the world’s major financial exchanges, across all asset classes - improving market price-discovery and efficiency.

In addition to my work at Tower, I contribute to technical committees supporting the software required for high-performance financial systems.

I co-chair the Tooling Track at CppCon, the largest C++ conference in the world.
I am a member of WG21, The ISO C++ committee which helps standardize and improve the C++ programming language, and am a regular speaker at various major programming language conferences.
I am also a member of the Boost organization.

I am involved in the C++ language community in various different capacities, am a regular at the New York C++ meetup, and am currently contributing to the development of the Beman project.