Ayman Lafaz
Data Engineer
Rabat, Rabat-Salé-Kénitra, Morocco
Summary
🤩
Rockstar🎓
Top SchoolAyman Lafaz is a Data Engineer with 5 years of hands-on experience blending data engineering, machine learning and MLOps to deliver production-ready models for healthcare, finance, real estate and bioinformatics. He builds and maintains robust data pipelines and Oracle-based deployments, and has practical experience with Airflow, PL/SQL and enterprise BI tooling while also shipping time series forecasting, computer vision and visualization solutions. As a freelancer and intern he has delivered end-to-end projects—from BERT-based sentiment tools and recommender systems to anomaly detection with real-time monitoring—deploying models via Docker, FastAPI and Google Cloud. He contributes to open-source ML tooling (implementing array/container ops and cross-backend support for TensorFlow, PyTorch and JAX in the ivy project), showing a strong backend and numerical-computing focus. Based in Rabat and continuously learning, he combines client-facing collaboration skills with a tendency to prototype experimental features that bridge research and production.
5 years of coding experience
2 years of employment as a software developer
TSI, TSI at CPGE - Classes préparatoires aux grandes écolesEngineer's degree, Artificial Intelligence, Engineer's degree, Artificial Intelligence at Ecole Nationale Supérieure d'Informatique et d'Analyse des Systèmes - ENSIAS
Stackoverflow
13reputation
409reached
0answers
2questions
Github Skills (16)
data-manipulation10
ivy10
pytorch10
jax10
tensorflow10
python10
containerization10
numpy10
machine-learning9
deeplearning-ai9
deep-learning9
converter8
google-translate6
etl6
hl7-fhir6
Programming languages (4)
Github contributions (5)
ivy-llc/ivy
Nov 2022 - Nov 2022
Convert Machine Learning Code Between Frameworks
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 reviews, 5 commits, 14 PRs in 1 day
Contributions summary:Ayman implemented several experimental features within the `ivy` framework, including `hsplit`, `ldexp`, `frexp`, and `bincount`. These implementations involved modifications to both container and array manipulation modules, as well as integration with backends such as TensorFlow, PyTorch, and Jax. The user also contributed to frontend tests, adding tests for the `numpy` frontend methods corresponding to the newly implemented functions.
pythontensorflowframework-learningtemplatedata-science
pillarxyz/pillarxyz.github.io
Jul 2022 - Mar 2025
Contributions:12 PRs, 46 pushes, 1 branch in 2 years 8 months
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