Sahdev Zala
Senior Technical Staff Member at IBM
Cary, North Carolina, United States
Summary
🤩
Rockstar🎓
Top SchoolSahdev Zala is a Senior Technical Staff Member at IBM with 13+ years of experience building and stewarding open source and enterprise software across cloud-native and ML ecosystems. He contributes to high-impact projects like Kubernetes, etcd and PyTorch—ranging from core backend reliability work in etcd to improving PyTorch tutorials and test automation—while co-architecting OpenStack Heat-Translator and TOSCA-Parser as a founding PTL. A published author and frequent conference speaker (KubeCon, OpenStack Summits, IBM Think), Sahdev blends hands-on engineering with technical leadership, patent generation, and developer advocacy. He holds an MS in Computer Science with a 4.0 GPA and is an OASIS TOSCA Technical Committee member, reflecting deep protocol-level expertise. Known for turning research and brainstorming into patentable innovations, he balances pragmatic production work with sustained contributions to open technologies.
13 years of coding experience
2 years of employment as a software developer
Master of Science (M.S.), Computer Science, 4.0/4.0, Master of Science (M.S.), Computer Science, 4.0/4.0 at NC A & T State University, Greensboro, NC
English, Hindi, Gujarati
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (26)
pytorch10
learn-ruby-on-rails10
python10
testing10
user-manual10
distributed-systems10
basics10
etcd10
go10
grpc10
documentation10
databases9
error-handling9
database9
distributed-database9
Programming languages (11)
Github contributions (5)
etcd-io/etcd
Dec 2017 - Jan 2023
Distributed reliable key-value store for the most critical data of a distributed system
Role in this project:
Backend Developer
Backend DeveloperContributions:1 release, 484 reviews, 274 commits in 5 years 2 months
Contributions summary:Sahdev primarily contributes to the core functionality of `etcd`, a distributed key-value store. Their commits focus on improving the reliability and maintainability of the system. Specific contributions include debugging gRPC stream errors, enhancing logging, and implementing new features like a memory usage check command, as well as improving error handling and code structure throughout the codebase.
etcdcriticalconsensusdistributed-systemreliable
pytorch/pytorch
Nov 2022 - Mar 2025
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:27 reviews, 19 PRs, 143 comments in 2 years 4 months
Contributions summary:Sahdev primarily focused on improving the quality and reliability of the PyTorch library. They contributed by addressing docstring errors and fixing links in documentation. They also worked on test-related tasks, such as checking QNNPACK support for the platform before running specific tests and refactoring the test suite for improved practices. Their contributions demonstrate a focus on code quality, testing, and documentation within the PyTorch project.
pythongpu-accelerationdeep-learninggpunumpy
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.