Heythem SATTOUTAH

Applied AI & Distributed Systems | Networks, DevOps & Embedded AI | Sorbonne & Renault Group

Salary / Daily rate

91120 Palaiseau, France

Freelance, open to permanent contract

Skills

AIPyTorchNetwork EngineeringDevOpsTensorFlowMySQLDockerGitJavaEmbedded SystemsRaspberry Pi

Languages

Arabic (Native)English (Fluent)

About me

Intro

👋 Hi, I’m Heythem (Haithem) SATTOUTAH — graduate of Sorbonne Université (M2 Computer Science) and ESI SBA (Engineer’s degree in Computer Science). I recently completed my R&D internship at Renault Group, where I worked at the crossroads of AI, distributed systems, and networking. I’m passionate about turning advanced algorithms into robust, measurable systems on real hardware. 🚗 R&D @ Renault Group Designed & optimized multi-agent connectivity solutions with clustering to improve reliability & QoS. Migrated LLM inference from Tinygrad → PyTorch, reducing latency on Jetson Nano. Ran distributed training experiments with EXO Gym, benchmarking FedAvg, DiLoCo, DeMo & SPARTA. Built automated pipelines for embedded AI with real-time inference + fallback strategies. 🧠 Research & Publications Modeled p-center facility location problems via Max-SAT at UPJV (MIS Lab). Published at JFPC 2024 & CP 2024, bridging theory & scalable solving. 📦 Key Projects ROADEF 2024 Scheduling (CPLEX) 🧮 – Optimized conference session assignments. Max-SAT Scheduling (PySAT) 🔧 – Encoded constraints, minimized conflicts in large instances. Raspberry Pi + Kafka 📹 – Real-time object detection pipeline with Dockerized deployment. Distributed Training (PyTorch) 💻 – Benchmarked strategies on decentralized setups. BGP Simulation (GNS3 + Wireshark) 🛰️ – Automated routing topologies & monitoring. 🧰 Toolbox 💻 Python, PyTorch, TensorFlow, scikit-learn 🐳 Docker, Linux, Git, CI/CD ⚡ Kafka, MongoDB, MySQL, Redis 📡 GNS3, Wireshark, routing protocols 🧮 PySAT, CPLEX, Max-SAT solvers 📱 Jetson Nano, Raspberry Pi 🌍 Community & Languages Volunteer: AlphaBit Club (Finance) & Algerian Muslim Scouts (Leader & Media Officer) Languages: Arabic 🇩🇿 | French 🇫🇷 | English 🇬🇧 🎯 Next Step Now an alumnus 🎓, I’m seeking opportunities where I can blend AI, Networks, DevOps & Systems to deliver scalable, reliable solutions. Excited by roles in R&D, Embedded AI, Robotics, Distributed Systems, and Data/ML Engineering. If you’re building systems that must run fast, reliably, and at scale — let’s connect! 🚀

Links

Work experience

R&D Engineer : Distributed Hybrid Intelligence: Communication and Clustering Strategies

Renault Group

Feb 2025 - Aug 2025

7 months

78280 Guyancourt, France

During my internship at Renault Group – Ampere (Advanced Research & Technologies), I worked on the design and optimization of hybrid AI and multi-agent connectivity solutions for connected vehicles. Leveraging Exo Labs’ distributed computing framework and the DiLoCo algorithm, I enabled parallel and distributed LLM inference across heterogeneous devices (Jetson edge modules, PCs, smartphones) to maintain low-latency communication and high QoS under variable network conditions. My work combined simulation (Exo Gym), network emulation for QoS testing, and real-vehicle deployment. I benchmarked distributed training strategies (FedAvg, DiLoCo, SPARTA, DeMo), which rely on parallel gradient aggregation and synchronization, recreated real vehicular scenarios (urban handovers, tunnel blackouts, rural coverage), and deployed optimized inference engines (PyTorch vs MLX-CUDA) that exploit GPU-level parallelism in a heterogeneous in-car cluster. This project strengthened my expertise in distributed AI, reinforcement learning, networking, and embedded systems, while contributing to Renault’s vision of building the software-defined, AI-driven vehicle of the future. 🚗⚡🤖

Minimizing Working-Group Conflicts in Conference Session Scheduling Through Maximum Satisfiability

Université de Picardie Jules Verne

Feb 2024 - Jul 2024

6 months

Amiens, France

- Internship focused on the Maximum Satisfiability (Max‑SAT) problem to solve p‑center location problems. Includes literature review, problem modeling in Max‑SAT, and solving them using specialized algorithms. The internship aims for applications in various fields such as planning and facility problems. -Accepted paper at the national conference in France JFPC(Journées Francophones de Programmation par Contraintes). - Accepted paper at international conference CP(Constraint Programming).

Seasonal Team Member

Groupe Amor Benamor

Jul 2023 - Jul 2023

1 month

Skikda, Algeria

Practical internship at Data Center Sonatrach

Sonatrach

Jan 2023 - Jan 2023

1 month

Skikda, Algeria

Practical internship at Sonatrach Ra1k

Sonatrach

Sep 2022 - Oct 2022

2 months

Skikda, Algeria

Seasonal Team Member

Groupe Amor Benamor

Jul 2022 - Aug 2022

2 months

Skikda, Algeria


Education

Sorbonne University

Master's degree, Computer Systems Networking and Telecommunications

2024 - 2025

2 years

École Supérieure en Informatique de Sidi Bel Abbès – ESI SBA

Engineer's degree, Computer Science

2019 - 2024

6 years


Licenses & certifications

Model Context Protocol (MCP): Hands-On with Agentic AI

Issued: Oct 2025

Certified by LinkedIn

Advanced Learning Algorithms

Issued: Oct 2023

Certified by Coursera

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