Ahmed Agiza
Machine Learning Research Scientist at Meta
California, United States
Summary
🤩
Rockstar🎓
Top SchoolAhmed Agiza is a Machine Learning Research Scientist with 11 years of experience blending academic rigor and production-grade engineering, currently at Meta after completing a PhD at Brown University. His work spans ML research, 3D graphics, and EDA tooling, with hands-on contributions to the OpenROAD project where he integrated OpenPhySyn and improved CI/CD Docker builds. He co-founded and led web and digital design platforms, bringing a founder’s product mindset to research-driven teams and applied internships at NVIDIA. Comfortable across back-end systems, DevOps, and applied deep learning, he often bridges gaps between prototype research and scalable deployment. Based in California, he pairs strong maths and CS foundations with a habit of self-directed learning and interdisciplinary curiosity that surfaces in both open-source and commercial projects.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Brown UniversityBachelor's degree, Computer Engineering with double minor in Mathematics and Business Administration, Bachelor's degree, Computer Engineering with double minor in Mathematics and Business Administration at The American University in Cairo
English, Arabic, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
c-language10
cprogramming-language10
back-end-development10
eda10
dockers9
docker9
tcl8
verilog7
Programming languages (8)
Github contributions (5)
The-OpenROAD-Project/OpenROAD
Dec 2019 - Jul 2020
OpenROAD's unified application implementing an RTL-to-GDS Flow. Documentation at https://openroad.readthedocs.io/en/latest/
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:160 commits, 26 PRs, 106 pushes in 7 months
Contributions summary:Ahmed's contributions center around integrating and modifying components for OpenROAD, an RTL-to-GDS flow. This involved adding the OpenPhySyn component, which likely expanded the tool's functionality. The user also made changes to Jenkins build scripts, specifically fixing the Docker directory and build commands. This suggests a focus on both software development within the EDA domain (demonstrated by integrating the OpenPhySyn component) and the infrastructure required for continuous integration and deployment (through changes to the build scripts).
opendb-databasertlcppgdstcl
scale-lab/OpenPhySyn
Oct 2019 - Jan 2023
Contributions:386 commits, 230 pushes, 8 branches in 3 years 3 months
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