Description

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.

Domaines d’expertise

Langues

Anglais
Capacité professionnelle complète
Français
Bilingue ou natif
Arabe
Bilingue ou natif

Préférences en matière de lieu de travail

Accepte de travailler sur site

Caen (jusqu’à 50 km)

wave.ai
Backend Engineer
EDUCATION & E-LEARNING
octobre 2022 - juillet 2024 (1 an et 9 mois)
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.
Python Python Flask FastAPI SQLAlchemy Alembic GraphQL Git Gitlab CI/CD DDD PostgreSQL TDD Langchain LLMs OpenAI Docker docker-compose
Zero To one Technology
R&D Engineer
EDUCATION & E-LEARNING
octobre 2017 - octobre 2020 (3 ans)
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.

Python Développement Back-End Développement Front-End JavaScript Vanilla JS jQuery API Pytorch Machine learning Deep Learning Numpy Pandas PostgreSQL SQLAlchemy

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Diplôme D'Ingénieur
Ecole Nationale Supérieure d'Ingénieurs de Caen - ENSICAEN
2017
Monétique & Sécurité Informatique
Ph.D. Machine Learning
Université de Caen Normandie - UNICAEN
2022
Analysis of interactions in face-to-face commercial interview videos

Jad Haddad

Senior Backend Engineer

À propos de Jad

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