Saksham Sharma is Director of Quantitative Research Technology at Tower Research Capital, with 12 years building low-latency, high-throughput trading and research systems that power global quantitative strategies. He blends deep C++ and Python expertise with systems design, quant modeling, and production deployment, and contributes to the C++ standard (WG21) and Boost. His background spans programming languages research, functional programming, cloud security, and numerical accuracy work—evidenced by a published tool that improved floating-point expression accuracy by ~50%. Saksham is an active open-source contributor, having implemented encryption-at-rest and KMS integration in Kubernetes’ apiserver and contributed cross-stack features to projects like Taffybar. Based in Chicago, he thrives on scaling ML research infrastructure and architecting robust, low-latency C++ systems for demanding finance environments.
A gtk based status bar for tiling window managers such as XMonad
Role in this project:
Full-stack Developer
Contributions:12 commits, 10 PRs, 77 comments in 2 years 5 months
Contributions summary:Saksham primarily contributed to the development of Taffybar, a status bar for tiling window managers. They added features like workspace scrolling and implemented fixes for compatibility with i3wm, enhancing the bar's functionality. Their work involved modifications to both the core functionality of the workspace switcher and the display of information, indicating a full-stack approach. Additionally, the user upgraded the build process to use more recent stack LTS.
Library for writing a Kubernetes-style API server.
Role in this project:
Back-end Developer
Contributions:11 commits in 5 months
Contributions summary:Saksham primarily contributed to the `apiserver` library, focusing on implementing encryption configuration options and related functionalities. Their work involved adding and refactoring code for encryption providers, specifically AES and Secretbox, as well as integrating KMS support. They also wrote unit tests and benchmarks, demonstrating a strong understanding of the codebase and a focus on security and performance.
apikubernetesk8s-stagingapi-server
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Saksham Sharma - Director, Quantitative Research Technology