About Me

Hello! My name is Ahmed, and I am currently a research scientist at Meta. Before that, I earned my PhD degree in Computer Science from Brown University, specializing in machine learning and hardware. I try to designs efficient machine learning methods for both software and hardware design. I also like building open-source tools!

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What I Do

Machine Learning

I have a genuine interest in designing machine learning models, understanding their algorithms, and making them more efficient. It's rewarding to see a model become smarter while being lighter on its feet.

Building Open Source Tools

I'm a firm believer in the power of open-source. There's something gratifying about contributing to a pool of shared knowledge and tools. It makes me feel connected to a larger community of like-minded individuals, all working towards common goals.

Hardware Design

I like building EDA tools, especially when it intersects with machine learning. It's like giving a computer the tools to improve its own blueprints. This blend opens up new, fun ways to make hardware better.

Mathematics

Math has always been more than just numbers for me; it's a way of understanding the world. I enjoy using my understanding of math to create better algorithms, but it's also a subject I dig into simply for the joy of uncovering new insights.

Resume

Education

2019-2024

Brown University

PhD, Computer Science

Research assistant at Brown’s SCALE lab.

2019-2023

Brown University

MSc, Computer Science

2012-2017

American University in Cairo

BSc, Computer Engineering

Dean's List. Double Minor in Mathematics and Business Administration.

Work Experience

Aug 2024 - Present

Meta, Sunnyvale, U.S.

Research Scientist

Building ML models for ads with the upstream representation learning team.

Jun 2022 – Aug 2022

NVIDIA, Santa Clara, U.S.

Applied Deep Learning Research Intern

Developed deep learning models for optimizing EDA flows.

Jul 2015 - Aug 2019

Cloud V, Egypt

Co-founder and Team Lead

Developed online digital design IDE with collaboration and project management: cloudv.io

Jan 2018 - Jul 2019

Efabless, U.S.

Senior Technical Consultant

Developed tools and infrastructure for hardware design and synthesis.

Jul 2017 – Dec 2017

The D. GmbH, Egypt

Back-end and AI Developer

Developed the back-end and the chatbot of CUJU mobile application.

Aug 2015 - Sep 2015

Mentor Graphics, Egypt

Software Engineering Intern

Designed xtUML models and xtUML to Symbolic Analysis Laboratory model compiler.

Jun 2015 - Aug 2015

AUC, Egypt

Software Engineering Intern

Built a PHP framework for migration between Blackboard and Moodle.

Dec 2014 - Aug 2015

AUC, Egypt

Undergraduate Teaching Assistant

Explained and helped the students with the following courses: Mobile Applications, OOP, Assembly Language, and Calculus.

2006 - 2018

Freelance Software, Mobile Applications, and Web Developer

Projects

Jun 2022 - Aug 2022

GraPhSyM

Developed Graph Attention Network model for design metrics estimations for NVIDIA’s optimization frameworks. Presented at ICCAD 2023. arxiv.org/abs/2308.03944

Jul 2020

EDAV

Open-source online hardware design renderer using WebGL: edaviewer.com

Aug 2019 - Dec 2020

OpenPhySyn

Open-source physical optimization engine: GitHub

Aug 2019 - Dec 2020

OpenROAD & OpenDB

Ex-member of the OpenROAD project and contributor to OpenDB.

Jul 2015 - Aug 2019

Cloud V

Online collaborative IDE for digital design: GitHub

Feb 2016 - Jul 2017

AutoARC

System for automating custom process package generation, including hardware description, assembler, simulator, and IDE using a simple ISA descriptor.

Mar 2016 - May 2016

Spycrafter

Embedded system of synchronized robots for area navigation & mapping.
Awarded: Best project in Microsoft’s Embedded Day 2016.

Oct 2015 – Dec 2015

Icarus

A fault-tolerant distributed system for steganography encrypted image sharing.

May 2014

NAgiza Gaming Console

Gaming console ISA built on FPGA with an online assembler using Verilog and JavaScript.

Research Interests

Machine Learning Optimization
Electronic Design Automation
Compiler Design
Efficient AI
Vision Transformers
LLMs
ML for EDA
Parallel Programming
Combinatorial Optimizations
Number Theory
Differentiable Optimization

Course Highlights

Deep Learning
Advanced Digital Design
Blockchains & Cryptocurrencies
Computer Systems Security
Compilers Design
Number Theory
Advanced Probability & Statistics

Programming Skills

Python

97%

C++

95%

Javascript

95%

TypeScript

95%

C

90%

Verilog

90%

Go

85%

MIPS Assembly

80%

Tcl

80%

Ruby

80%

Java

80%

PHP

80%

Solidity

75%

Frameworks

PyTorch

97%

Node.js

97%

Tensorflow

90%

CUDA C++

90%

Qt C++

90%

React.js

85%

Android

85%

Django

80%

Databases

MongoDB/NoSQL

96%

SQL

96%

Redis

90%

GraphQL

85%

Tools & Infrastructure

DevOps / AWS

96%

Docker

96%

Serverless Architectures

92%

MLIR & Compiler Design

90%

JIRA

85%

Triton

85%

Design Skills

Adobe Photoshop

80%

Adobe Illustrator

80%

Autodesk Maya

80%

Autodesk Mudbox

80%

Languages

Arabic

100%

English

97%

French

50%

Publications

‣ Agiza, Ahmed, Marina Neseem, and Sherief Reda. “MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024. (Highlight Paper) [arxiv][cvf][GitHub]

‣ Agiza, Ahmed, Mohamed Mostagir, and Sherief Reda. “PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in Large Language Models.” Proceedings of the 2024 AAAI/ACM Conference on AI, Ethics, and Society. 2024. [arxiv][GitHub]

‣ Agiza, Ahmed, R. Roy, T. Ene, S. Godil, S. Reda and B. Catanzaro. “GraPhSyM: Graph Physical Synthesis Model” Proceedings of the 42nd International Conference on Computer-Aided Design (ICCAD), 2023. [arxiv]

‣ Neseem, Marina, Ahmed Agiza, and Sherief Reda. “AdaMTL: Adaptive Input-dependent Inference for Efficient Multi-Task Learning.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. 2023. [arxiv][GitHub]

‣ Agiza, Ahmed A., Kady Oakley, Jacob K. Rosenstein, Brenda M. Rubenstein, Eunsuk Kim, Marc Riedel, and Sherief Reda. “Digital circuits and neural networks based on acid-base chemistry implemented by robotic fluid handling.” Nature Communications 14.1 (2023): 496. [html]

‣ Agiza, Ahmed, Stephen Marriott, Jacob K. Rosenstein, Eunsuk Kim, and Sherief Reda. “pH-Controlled enzymatic computing for digital circuits and neural networks.” Physical Chemistry Chemical Physics 26.31 (2024): 20898-20907. [html]

‣ Agiza, Ahmed, and Sherief Reda. “OpenPhySyn: An open-source physical synthesis optimization toolkit.” 2020 Workshop on Open-Source EDA Technology (WOSET). 2020. [pdf][GitHub]

‣ Agiza, Ahmed, and Sherief Reda. “CRLoMTL: Conflict-Resolution through Low-rank Matrices for MultiTask Learning.” AAAI Conference on Artificial Intelligence. 2025 [Under Review]