Paula Ehab

AI & Automation Engineer

Qesm El Maadi, Cairo, Egypt
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
Paula Ehab is an AI & Automation Engineer with 7 years of professional experience and 3 years focused on building and deploying NLP solutions across industries including banking, telecom, and government. She designs production-ready systems—chatbots, RAG document search, and IVR—using tools like LangChain, FAISS, Haystack, Kore.ai and cloud-native deployment patterns (Docker, FastAPI). Paula contributed to the widely used IVY framework by implementing TensorFlow frontend ops and precision fixes, and has shipped RAG systems that measurably reduced search time for users. Comfortable bridging product and engineering, she pairs strong stakeholder communication with hands-on model work (BERT, GPTs, Lora, Transformers) and practical prompt engineering. Based in Cairo, she brings a rare combination of conversational-AI platform expertise and low-level ML implementation experience spanning Python and .NET ecosystems.
code7 years of coding experience
job5 years of employment as a software developer
bookBachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Helwan University Cairo
stackoverflow-logo

Stackoverflow

Stats
1reputation
0reached
0answers
0questions
github-logo-circle

Github Skills (12)

ivy10
machine-learning10
deep-learning10
tensorflow10
python10
converter9
unit-testing9
neural-network8
numpy8
pytorch7
transcode6
transpiler6

Programming languages (6)

JavaCSSPHPHTMLJupyter NotebookPython

Github contributions (5)

github-logo-circle
ivy-llc/ivy

Aug 2022 - Aug 2022

Convert Machine Learning Code Between Frameworks
Role in this project:
userML Engineer
Contributions:66 reviews, 1 commit, 162 PRs in 1 day
Contributions summary:Paula primarily contributed to the `ivy` repository by implementing and testing machine learning functions related to the TensorFlow frontend. Their work involved adding and modifying functions within the TensorFlow framework, specifically focusing on `raw_ops`, math, and tensor operations. The user's contributions included adding functionalities like FFT, fixing and updating existing tests, and addressing issues related to data types and numerical precision.
pythontensorflowframework-learningtemplatedata-science
Contributions:2 pushes, 1 branch in 3 years 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial