Shaba Abhiram is a seasoned software and infrastructure leader with 12 years of experience building high-performance systems and leading engineering teams in Silicon Valley. As VP of Software & Infrastructure at Tensordyne and former founder/VP of Engineering at OttoQ, he has shipped low-latency, production-grade systems—negotiating deployments at Google and Facebook—and brings deep expertise in graphics drivers, embedded C, distributed computing, and deep learning. He combines hands-on implementation (from multithreaded servers and GPU-accelerated pipelines to Raspberry Pi full-stack tooling) with a pragmatic focus on CI, rapid iteration, and fixing brittle interfaces. An active open-source contributor, he has improved libraries for nested data handling and built user-friendly IoT tooling, reflecting a knack for making complex systems accessible. Based in Mountain View, he pairs technical depth from Intel-era graphics engineering with startup grit and a playful, collaborative leadership style.
12 years of coding experience
10 years of employment as a software developer
Computer Engineering, Computer Engineering at University of California, Davis
Raspberry Pi Node application which makes connecting to your home wifi easier
Role in this project:
Full-stack Developer
Contributions:59 commits, 4 PRs, 56 pushes in 4 years 5 months
Contributions summary:Shaba primarily focused on developing the backend and frontend of a Raspberry Pi WiFi configuration application. They implemented core functionality for scanning WiFi networks using `iwlist`, managing WiFi connections, and enabling access point mode. The user also built the foundation for a web interface using Express.js and Angular.js, adding features like password input and a scan result selection system, demonstrating full-stack capabilities.
Contributions summary:Shaba primarily focused on enhancing the functionality of the `addict` Python library. Their contributions involved implementing new features like `prune_zero` and `prune_empty_list` options for the `prune()` method, improving the library's ability to handle nested data structures. They also addressed issues by adding the `__dir__()` method and adding tests, improving the usability and maintainability of the project. Furthermore, they added tests to verify the proper behavior of implemented changes.
pythonflaskpython-dictaddictpython3
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.
Request Free Trial
Shaba Abhiram - VP Of Software & Infrastructure at Tensordyne