Freelancer profile translated to English.
Back to original languageAbout Youssef
Software Engineer | Expert in Distributed Systems & Performance (C++/Python/Rust)
Expert in designing robust backend and distributed systems, I assist companies on projects where latency, scalability, and reliability are vital issues.
My expertise at your service for your challenges:
- Design & Backend : Development of scalable services and distributed systems (C++, Python, Rust).
- Translating Needs : Strong ability to translate business problems and client needs into concrete and performant software architectures.
- Data-Intensive Systems : Processing massive data streams.
- Industrialization : Integration of algorithmic models and AI components (LLMs, computer vision ...) within existing production workflows.
- Interfaces & Visualization : Design of HMIs and monitoring dashboards (Django, PHP) for controlling complex systems and visualizing real-time data.
- DevOps : Setting up CI/CD pipelines (Jenkins, Github Actions) and containerized environments (Docker, Kubernetes).
Why collaborate with me?
Coming from demanding industrial environments (Automotive, Security, Meteorology), I guarantee code that combines immediate performance with long-term maintainability. My approach focuses on the reliability of systems in production and technical alignment with your strategic objectives.
Do you have a need, a project? → let's simply discuss it!
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- IDEMIASoftware Engineer – Embedded SystemsNovember 2024 - January 2026 (1 year and 2 months)Île-de-France, FranceChallenge : Development of backend services managing critical data streams from next-generation radars.
- High-Performance Backend (C++ & Python) : Design of microservices for real-time processing of traffic and infraction data.
- Needs Analysis and Translation : Analysis of client functional specifications and conversion into scalable and maintainable software architectures.
- Massive Data Streams : Development of internal APIs capable of ingesting and securing large volumes of evidence data (images/metadata/radar).
- Robustness & Real-Time : Optimization of processing latency under Linux to ensure system reliability in constrained environments.
- Industrialization : Orchestration of the environment via Docker and automation of tests/deployments with Jenkins to ensure production stability.
- Data Management : Architecture and optimization of PostgreSQL databases for fast storage and retrieval of traffic history.
- Renault GroupEmbedded Software EngineerAUTOMOBILEOctober 2023 - November 2024 (1 year and 1 month)Île-de-France, FranceChallenge : Design the software brain of future autonomous vehicles and ADAS, ensuring ultra-fast communication between sensors and actuators.
- Distributed Architecture (ROS2) : Development of compute nodes and distributed components for vehicle perception and control.
- Communication & Latency : Design of asynchronous pipelines and optimized inter-service communication for real-time environments.
- Technical Hybridization : Implementation of performance modules in C++ / Rust and logic/rapid prototyping layers in Python.
- Industrial Reliability : Implementation of automated testing architectures (Unit, Integration, HIL) to ensure the robustness of critical systems before deployment.
- Long-Term Vision : Collaboration on software architecture choices (Scalability, middleware selection, data security).
- METEO FRANCEResearch and Development EngineerOctober 2020 - October 2023 (3 years)Toulouse, FranceChallenge:Automation of monitoring and performance prediction for a fleet of over 4000 weather stations.
- High Performance (C++) : Development of the stream processing engine (ingestion and cleaning) handling 23 million messages/day with a real-time constraint (15s frequency).
- Data Pipeline (Python) : Design of a robust pipeline integrating quality coefficients to filter aberrant signals and normalize power data.
- AI & Deep Learning (TensorFlow) : Design of a neural network for failure/power prediction, achieving 90% accuracy on time series.
- Optimization : Reduction of processing memory footprint by 50% through a C++ implementation optimized for intensive calculations
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Education
- Engineer's degree, Signal and Image ProcessingENSEEIHT2020Engineer's degree, Traitement du signal et d'image
- CPGE, MPSI-MPLycée Moulay Youssef2017CPGE, MPSI-MP