Omid Meh is a Staff Engineer with nine years of cross-disciplinary experience spanning embedded systems, EDA, automation, and data science, now focused on leading Data & AI strategy and developer enablement. He has a strong background at major tech firms—IBM, Intel, and Samsung Semiconductor—bridging hardware-rooted EDA expertise with production data pipelines to help teams turn insights into reliable, scalable systems. Known for practical engineering—evidenced by backend robustness work on projects like IBM’s Watson voice bot—he emphasizes collaboration between developers, data engineers, and data scientists. With a Master of Engineering from UT Austin and dual engineering degrees from UMass Amherst, he blends rigorous academic training with hands-on delivery across both software and silicon domains.
9 years of coding experience
8 years of employment as a software developer
Master of Engineering - MEng Computer Software Engineering, Master of Engineering - MEng Computer Software Engineering at The University of Texas at Austin
Electrical and Electronics Engineering, Electrical and Electronics Engineering at UMass Boston
Double Degree: Bachelor of Science (B.S.) Computer Engineering; Electrical and Electronics Engineering, Double Degree: Bachelor of Science (B.S.) Computer Engineering; Electrical and Electronics Engineering at University of Massachusetts Amherst
Information Technology, Information Technology at Asia Pacific University of Technology and Innovation (APU / APIIT)
Create a Watson Assistant chatbot that uses voice over a web browser.
Role in this project:
Back-end Developer
Contributions:14 commits, 1 PR, 1 issue in 5 days
Contributions summary:Omid primarily focused on enhancing the backend functionality of the Watson Voice Bot application. They added error handling to speech-to-text (STT) processing, ensuring a more robust user experience. The user also implemented critical fixes, such as redirecting HTTP to HTTPS connections on Cloud Foundry, and improved code maintainability through cleanup and formatting updates. These commits demonstrate a focus on improving the robustness and reliability of the application.
Contributions:3 reviews, 9 PRs, 29 pushes in 2 days
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