About Yris Brice
PhD in Computer Science — Biometrics Expert & AI Researcher
I am an Artificial Intelligence and Biometrics specialist with over 7 years of combined research and industry experience. Currently working as a Biometrics Expert at FIME SAS (Caen, France), I design, evaluate, and secure biometric systems for major clients including Mastercard, FIDO, and Google.
Core expertise:
— Biometric system certification & Presentation Attack Detection (PAD)
— AI & Deep Learning: LLMs (LLaMA, GPT-4o, Mistral), GANs, Transformers
— Synthetic data generation & predictive modeling
— Data-driven UX analysis
— Security testing: injection attacks on Android, iOS & MAC
Academic background:
— PhD, Computer Science – University of Caen Normandy (2023)
— Qualified Associate Professor (CNU 27 & 61)
— Lecturer at ENSICAEN & SUPINFO (Machine Learning, Deep Learning, Data Mining)
— Best Paper Award – CyberWorlds Conference, Japan (2022)
I bring a rare combination of scientific rigor, practical engineering skills, and clear communication — in both French and English. I am available for freelance missions in AI development, biometrics consulting, data science, and technical teaching.
Tech: Python | TensorFlow | PyTorch | Langchain | Docker | Azure | SQL | MongoDB
German
Basic
English
Native or bilingual
French
Native or bilingual
Can work on-site
Caen (up to 50km), Paris (up to 50km)
Experience
- FIME SASSenior Analytic Engineer & Biometrics SpecialistTECHSeptember 2020 - Today (5 years and 9 months)Caen, Normandy, France○ Project Manager backup○ Build an LLM-based multi-agent AI system to collect metadata about website○ Training LLM models (apply RAG on OMNIPARSER+SELENIUM) for merchant website testing○ Data (Time series, Images, Voices, Behaviorals) Generation with GANs, StyleGAN, TimeGANs..○ Evaluation of biometric products (smartphones, vehicles, credit cards, ...)○ Expertize on tested biometric solutions○ Injection attacks on Android and IOS (Hooks, Frida, Jadix, OBS)
- UtocatAI Engineer / Data-Driven UX AnalystTECHOctober 2019 - September 2020 (11 months)Lille, FranceUtocat is a provider of blockchain solutions for the banking and insurance industries.Missions:○ Prediction of difficulty levels on UX via cursor and scroll positions on the screen○ Labeling of user and bank sessions○ Experience working with structured, semi-structured, and unstructured data files such as delimited numeric files, JSON/XML files, text documents, images, etc.○ Document feature extraction schema (vectorization)○ Training LLMs models (Transformer BERT, Llama3, Mistral, Ph3) on bank data (documents, online user sessions, etc.)○ Identify the KPIs for measuring difficulties that are relevant to R&D/CIR objectives, and then commercial objectives○ Model the KPIs that help understand the difficulties encountered: e.g. analysis of the population, their environment, their personality, etc., which will enable us to anticipate the difficulty in real-time○ Produce information for CIR annual reports
- Inria (Institut national de recherche en informatique et en automatique)Machine Learning EngineerMarch 2019 - September 2019 (6 months)Rennes, Brittany, France- Data Analyst - Image and Signal Processing - 3D/4D Images Data Analysis - Identification of MRI Brain Imaging Biomarkers
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Education
- PhD - Doctorate in Computer ScienceENSICAEN - Ecole Nationale Supérieure d'Ingénieurs de Caen2023Performance and security evaluation of behavioral biometric systems
- Master's degree in Computer ScienceISTIC UFR Informatique & Electronique | Université de Rennes 12019AI – Machine Learning – Deep Learning – Detection & Estimation – Optimization – Robotic Process Automation – Kalman & Markov Filter – Signal & Image Processing – Big Data – Hadoop – Apache Spark – Diffusion – ICA – OFDMA – Robotic vision – Bluetooth – MRI – fMRI – ASL – Diffusion – Neuroscience – Inverse problems – Blind Separation Source