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I am a research and applied AI engineer with 7+ years of experience across AI research, high-performance C++ and Python ecosystems, MLOps, and performance-focused systems. I enjoy owning problems end-to-end—from research prototypes to production-grade solutions. I lead technical projects and collaborate across cross-functional teams, with strengths in architecture design, experimentation pipelines, distributed training, and rigorous benchmarking/optimization. I move fast as a technology-agnostic learner while staying results-driven.…I am a research and applied AI engineer with 7+ years of experience across AI research, high-performance C++ and Python ecosystems, MLOps, and performance-focused systems. I enjoy owning problems end-to-end—from research prototypes to production-grade solutions. I lead technical projects and collaborate across cross-functional teams, with strengths in architecture design, experimentation pipelines, distributed training, and rigorous benchmarking/optimization. I move fast as a technology-agnostic learner while staying results-driven.

Yahia Ferchichi

Project Manager, AI Engineer, Data Scientist, +2

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I am a research and applied AI engineer with 7+ years of experience across AI research, high-performance C++ and Python ecosystems, MLOps, and performance-focused systems. I enjoy owning problems end-to-end—from research prototypes to production-grade solutions. I lead technical projects and collaborate across cross-functional teams, with strengths in architecture design, experimentation pipelines, distributed training, and rigorous benchmarking/optimization. I move fast as a technology-agnostic learner while staying results-driven.…I am a research and applied AI engineer with 7+ years of experience across AI research, high-performance C++ and Python ecosystems, MLOps, and performance-focused systems. I enjoy owning problems end-to-end—from research prototypes to production-grade solutions. I lead technical projects and collaborate across cross-functional teams, with strengths in architecture design, experimentation pipelines, distributed training, and rigorous benchmarking/optimization. I move fast as a technology-agnostic learner while staying results-driven.

Available to hire

I am a research and applied AI engineer with 7+ years of experience across AI research, high-performance C++ and Python ecosystems, MLOps, and performance-focused systems. I enjoy owning problems end-to-end—from research prototypes to production-grade solutions.

I lead technical projects and collaborate across cross-functional teams, with strengths in architecture design, experimentation pipelines, distributed training, and rigorous benchmarking/optimization. I move fast as a technology-agnostic learner while staying results-driven.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

French

Fluent

English

Advanced

Arabic

Fluent

Italian

Beginner

Work Experience

Research Engineer (Project Manager & Technical Lead) at InstaDeep

July 1, 2022 - Present

Led technical project work and contributed as Project Manager/Technical Lead on automation and large-scale optimization PoCs. Built an experimentation pipeline from local development to HPC execution using Jenkins, Cronjobs, GitLab Runners, and LSF, including automated orchestration, model training, job scheduling, and result tracking. Designed system architecture, performed code reviews, and coordinated sprint planning and roadmap definition with cross-functional stakeholders. Worked on DeepPCB, a routing and geometric optimization effort: developed a research-to-production-grade C++ routing PoC, implemented geometry computation and graph-based algorithms (Dijkstra, A*, RRT*) with Boost and Networkit, migrated Python prototypes to high-performance C++, and improved routing heuristics for complex PCB constraints. Also supported deep reinforcement learning and distributed systems by leading a JAX migration PoC, enhancing RL state/action representations and search strategies, and designi

Technical Leader / Software Engineer at Société Générale

October 1, 2018 - June 30, 2022

Led weekly team quality meetings including knowledge sharing and optimization workshops (reported up to 7000x speedups). Organized and led code review workshops to enforce best practices across the team. Worked on market risk migration and digital transformation: designed and implemented VaR/SVaR computations for Forex, Rate, and Credit risk tooling. Developed and optimized risk calculation algorithms using Python (Pandas, NumPy), Joblib, and Asyncio. Managed data and querying using Spark SQL and MDX, and developed internal visualization tools with deployment and support. Designed and maintained a Python internal package providing API wrappers and big data utilities, including Highcharts integration. Built a REST API (Flask / OMNIorb) bridging Linux production systems and a legacy CORBA system.

Graduation Internship (Web Application / ML) at Amadeus IT Group

April 1, 2018 - September 30, 2018

Developed a web application for automated maintenance and customer support using machine learning. Implemented NLP and ML components using Python with NLTK, scikit-learn, and Tensorflow. Built the application with Django and containerized/deployed with Docker.

Education

General Engineering and Applied Mathematics (Double course: ENIT-ENSTA / IPEIT) at ENSTA ParisTech (France) and IPEIT (Institut Préparatoire aux Études d’Ingénieurs de Tunis)

January 1, 2015 - January 1, 2018

Classes préparatoires – Maths & Physique (Preparatory classes) at IPEIT (Institut Préparatoire aux Études d’Ingénieurs de Tunis)

January 1, 2013 - January 1, 2015