About Jad
As a Senior Backend Engineer with extensive experience in Python, I specialize in designing and implementing scalable, efficient, and secure backend systems. My expertise spans across API development, database architecture, cloud integrations, and performance optimization, ensuring robust and reliable solutions tailored to meet business needs. With a strong focus on clean code, best practices, I aim to deliver high-quality solutions that enhance functionality and user experience. Let’s collaborate to bring your projects to life with precision and innovation.
English
Fluent
French
Native or bilingual
Arabic
Native or bilingual
Can work on-site
Caen (up to 50km)
Experience
- wave.aiBackend EngineerEDUCATION AND E-LEARNINGOctober 2022 - July 2024 (1 year and 9 months)Republic of France, France• Worked on the Wave's flagship product, an AI-powered coaching app. The Back-end leveraged FastAPI for an asynchronous Back-end and LangChain to create a comprehensive AI-powered coaching solution.• Contributed to the design and implemention of a robust Back-end architecture using Domain-Driven Design (DDD) principles and event-based design, ensuring scalability and maintainability.• Created several "LLM Tooling Agents" i.e. valuable insights extraction from client conversations, coaching strategy selector.• Created a Supervision tool for the AI model, to monitor and ensure the quality of the LLM generations.• Took initiatives to improve developer experience by migrating the codebase to the latest version of Python, integrating tools to ensure high quality of code i.e. linter, type checkers, built custom CLIs to facilitate and automate developers' tasks.
- Zero To one TechnologyR&D EngineerEDUCATION AND E-LEARNINGOctober 2017 - October 2020 (3 years)Caen, France• Worked on the "Comscope" software, that analyzes in realtime the social interaction during an interview - Front-end (using Vanilla JS) and Back-end (using Twisted and AioHTTP).• Worked on the call center training platform - Front-end (using Vanilla JS) and Back-end (using Twisted).• Implemented several Proof-of-Concepts in the context of R&D.• Created a trimodal emotion annotation tool for in-house dataset creation.• Supervised an internship about visual speech detection using lip movements. The project covers the whole machine learning life-cycle from data gathering to deployment.
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Education
- Diplôme D'IngénieurEcole Nationale Supérieure d'Ingénieurs de Caen - ENSICAEN2017Monétique & Sécurité Informatique
- Ph.D. Machine LearningUniversité de Caen Normandie - UNICAEN2022Analysis of interactions in face-to-face commercial interview videos