Dr. Ahmed Moussa
Building AI systems that work in production — agentic pipelines, deep learning at scale, and the infrastructure that makes intelligent systems trustworthy.
What I Build
Production AI — from research to deployment
Every system here was built under one constraint: it has to work when it matters.
Agentic AI Systems
Autonomous pipelines that plan, retrieve, and act
Multi-agent systems built on the OpenAI SDK and CrewAI — from fully autonomous research agents to hierarchical coordination pipelines. These systems do real work without human intervention at every step.
Production Deep Learning & MLOps
End-to-end ML systems deployed at scale
TFX pipelines on GCP Vertex AI, Kubernetes-native orchestration with Kubeflow, and monitored production deployments with drift detection and CI/CD automation — built to the standards of a production engineering team.
ML Research & Open-Source Tooling
Peer-reviewed research and tools the community uses
Five peer-reviewed publications at the intersection of ML and complex systems, three open-source Python packages with 2,000+ downloads, and a methods portfolio spanning 17 analyses across 9 domains.
By The Numbers
Credentials that hold up under scrutiny
A Guiding Principle
“I aim to build solutions that are as simple as possible, and only as complex as necessary.”
Dr. Ahmed Moussa
Let's Work Together
Let's build something that matters.
I'm open to research engineering roles, applied AI collaborations, and technical conversations worth having.