YACINE GACI
Applied AI Engineer (NLP & LLMs) | PhD | RAG, PyTorch, Production AI
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Strasbourg, France
Mobilité : Paris, Lyon, ...
Freelance
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À propos
Introduction
I am an applied AI researcher and engineer with a Ph.D. in Natural Language Processing and Deep Learning, specializing in large language models (LLMs), retrieval-augmented generation (RAG), and responsible AI. I design, train, and deploy production-grade AI systems, bridging cutting-edge research with real-world applications. My expertise includes: • NLP & LLMs (fine-tuning, prompting, evaluation, quantization) • Retrieval-augmented generation (RAG) • Bias mitigation and fairness in ML and AI • PyTorch, Hugging Face, Ollama, vLLM, Unsloth, FastAPI • Model deployment with Docker, Kubernetes, microservices, CI/CD During my PhD, I focused on fairness and bias in NLP, published 7+ first-author papers, and contributed to top-tier venues such as EMNLP, ECML-PKDD, and ACM SAC (Best Paper Award). I enjoy solving complex problems, building scalable systems, and working at the intersection of research and product. I am currently seeking applied AI / NLP / LLM roles where I can combine strong research foundations with real-world impact. Feel free to reach out if you’d like to discuss AI, research, or collaboration. Open to remote & relocation.
Expérience de travail
AI Researcher / Engineer
Plus que PRO ⭐⭐⭐⭐⭐
sept. 2023 - Présent
3 ans 2 mois
Strasbourg, France
• Lead applied LLM development for internal and client-facing AI products • Designed and deployed RAG-based microservices using FastAPI, Redis, and Docker • Built end-to-end pipelines from data ingestion to inference APIs • Developed LLM-based tools for content generation, automatic website generation, action-based virtual assistants, sentiment analysis, and automated replies • Collaborated cross-functionally with product, sales, design, and engineering teams • Took projects from prototype to production
Teaching Assistant
INSA Lyon - Institut National des Sciences Appliquées de Lyon
sept. 2022 - août 2023
1 an
Lyon, France
• Taught core mathematical foundations for AI and machine learning: linear algebra and numerical methods. • Led hands-on, practical tutorials focusing on matrix calculus and optimization concepts • Designed and graded problem sets and practical assignments • Mentored undergraduate engineering students • Explained complex mathematical concepts in an accessible and structured way • Supported students in developing problem-solving and analytical skills
LIRIS
janv. 2019 - juil. 2023
4 ans 7 mois
Lyon, France
PHD Researcher
déc. 2019 - juil. 2023
3 ans 8 mois
Lyon, France
• Conducted research on fairness, bias mitigation, and evaluation of NLP models • Designed and evaluated debiasing methods for transformer-based architectures • Built experimental pipelines for training, fine-tuning, and benchmarking language models • Developed frameworks to quantify and analyze social bias in NLP systems • Published 7+ first-author papers in top-tier AI venues (EMNLP, ECML-PKDD, ACM SAC) • Received a Best Paper Award at ACM SAC 2022 • Mentored MSc students and research interns • Delivered 400+ hours of teaching in data mining, databases, and web development
Research Intern
janv. 2019 - déc. 2019
1 an
Lyon Area, France
• Analyzed resource usage patterns (CPU, memory, bandwidth) of distributed ML workloads • Built predictive models to optimize execution parameters dynamically • Worked with large-scale logs to characterize ML system behavior • Implemented and tested workloads using Apache Spark • Contributed to performance optimization and system efficiency
Teaching Assistant
Université Claude Bernard Lyon 1
févr. 2020 - août 2022
2 ans 7 mois
Lyon, France
• Taught core CS courses: databases, web programming, computer architecture, and digital circuits • Led practical sessions and supervised lab work • Designed exercises and graded assignments • Helped students understand systems-level thinking • Mentored students in problem-solving and debugging
Summer Intern — Network Infrastructure
Sonatrach
juil. 2017 - oct. 2017
4 mois
Boumerdès, Algérie
• Analyzed the company’s network infrastructure with a focus on Network Access Control (NAC) systems • Identified security and access control issues • Proposed technical solutions to improve network reliability and access management • Participated in day-to-day network administration tasks • Gained hands-on exposure to enterprise networking environments
Formation
Université de Lyon
Doctor of Philosophy - PhD, Artificial Intelligence & Natural Language Processing
2019 - 2023
3 ans 8 mois
Résultat : 7+ first-author publications in top-tier AI venues
Activités et associations : Reviewer for top-tier NLP and ML conferences (EMNLP, AAAI). Session Chair at ECML-PKDD 2023 and ICSOC 2024. Panelist at ICWS. Teaching activities at INSA Lyon and UCBL.
Research focused on fairness, bias mitigation, subjectivity and evaluation of NLP models. Worked on transformer-based architectures, representation learning, and responsible AI.
Ecole nationale Superieure d'Informatique (ESI)
Engineering Degree in Computer Science, Informatique
Résultat : Engineering Degree in CS | Ranked 2nd overall among the graduating class
Strong foundations in computer science, algorithms, systems, and software engineering. Coursework included databases, distributed systems, networking, operating systems, and applied mathematics.
Licences et certifications
Reinforcement Learning | A Complete Reinforcement Learning System (Capstone)
Délivré le : mai 2024
Reinforcement Learning Specialization
Délivré le : mai 2024