Youssef Mehili
Software Engineer (Backend & AI)
About
I am a software engineer and AI enthusiast based in Lyon, France, currently pursuing a Master's degree at EPITECH. With a deep passion for bridging complex backend architectures with cutting-edge artificial intelligence, I strive to build systems that are not only robust but also intelligent.
My journey spans from low-level C++ optimization for critical infrastructure at the Ministry of Transport to architecting scalable microservices and AI integrations as a Lead Developer. I enjoy tackling challenging problems, whether it's developing neuromorphic algorithms, building custom LLMs from scratch, or ensuring national safety compliance through software.
Beyond technical expertise, my experience in sales leadership has given me a unique perspective on product value and business strategy. I am driven by curiosity and a commitment to innovation, constantly seeking to push the boundaries of what's possible in software engineering.
Experience
Tunnel Study Center (CETU) — Ministry of Transport
Jul 2024 – Mar 2026- Ensured national safety compliance by redesigning critical tunnel lighting sizing software using C++ and Python.
- Optimized visibility calculations and rendering speeds by implementing advanced light modeling algorithms using physics-based rendering techniques.
- Enhanced engineering decision-making capabilities by improving system reliability and UX using a modernized backend architecture.
Junior Conseil Taker
Jan 2025 – Present- Ensured system scalability and technical consistency by architecting robust APIs and microservices using Nest.js, Node.js, and FastAPI.
- Solved complex business automation challenges by designing and integrating custom AI models (LLMs, Computer Vision) using Python and PyTorch.
- Guaranteed product quality and on-time delivery by supervising task allocation, code reviews, and QA protocols using Agile workflows and CI/CD pipelines.
Junior Conseil Taker
Sep 2025 – Present- Secured €220k in annual turnover by driving strategic client acquisition and retention using data-driven sales pipelines and CRM tools.
- Maximized team performance by leading and mentoring 20 sales representatives using structured KPI tracking and weekly coaching sessions.
- Streamlined deal closure rates by optimizing negotiation workflows and contract standardization using improved commercial processes.
Junior Conseil Taker
May 2025 – Present- Expanded the sales pipeline by executing targeted cold outreach campaigns (email, phone, LinkedIn) using CRM automation tools.
- Accelerated client acquisition by qualifying high-potential leads and scheduling strategic appointments using consultative selling techniques.
- Optimized lead conversion rates by analyzing market trends and refining pitch scripts using A/B testing methodologies.
PoC Innovation
Sep 2024 – Jul 2025- Advanced energy-efficient computing research by developing bio-inspired algorithms using neuromorphic AI architectures.
- Validated theoretical models on physical hardware by building end-to-end proofs of concept using PyTorch and spiking neural networks.
- Bridged the gap between academic research and practical application by synthesizing latest findings into actionable R&D projects.
Projects
Guaranteed safety compliance for French tunnels by developing high-precision lighting sizing software using C++ and Python.
Public reference + pictures available.
Prevented financial fraud by engineering a SaaS detection platform with forensics capabilities using Next.js, FastAPI, and AWS.
Delivered an Unreal Engine-like ecosystem by architecting a scalable game engine with scripting and asset management using C++ and Hexagonal Architecture.
Streamlined cross-platform task automation by building a mobile-web trigger-action system using FastAPI, Next.js, and React Native.
E‑Commerce for West Africa
Modernized regional online retail by building a scalable Amazon-style platform using Next.js, Prisma, and Stripe.
NDA
Achieved photorealistic rendering speeds by developing a distributed ray tracer with acceleration structures using C++.
Deepened understanding of LLM architecture by implementing and training a GPT-2 model from scratch using Python and PyTorch.
Simulated complex autonomous behavior by creating a distributed multiplayer strategy game using C++ and Python AI agents.
Company Document RAG
Enabled instant access to internal knowledge by building a grounded RAG search engine using LangChain, Ollama, and Python.
NDA
Insurance Chatbot
Enhanced customer engagement for a major insurer by implementing an intelligent chatbot using OpenAI API, React, and Next.js.
NDA
Expanded capabilities in vision and RL by developing custom training loops and evaluation pipelines using Python and PyTorch.
Biotech Finance AI Newspaper
Automated content generation for finance news by building a recommendation and writing assistant platform using React Native and OpenAI API.
Link/app coming soon.
Robot Dog
Achieved autonomous movement by engineering control and perception systems for a robot dog using Reinforcement Learning and PyTorch.
Videos coming soon.