I'm an ML Applied Scientist with 8 years of experience solving business problems using state-of-the-art machine learning. I have extensive knowledge in deep learning applied to computer vision, NLP, and speech processing, and I enjoy turning complex data into practical, scalable solutions. I thrive at the intersection of research and deployment, mentoring junior researchers, and delivering measurable business impact.

Boris Albar

I'm an ML Applied Scientist with 8 years of experience solving business problems using state-of-the-art machine learning. I have extensive knowledge in deep learning applied to computer vision, NLP, and speech processing, and I enjoy turning complex data into practical, scalable solutions. I thrive at the intersection of research and deployment, mentoring junior researchers, and delivering measurable business impact.

Available to hire

I’m an ML Applied Scientist with 8 years of experience solving business problems using state-of-the-art machine learning. I have extensive knowledge in deep learning applied to computer vision, NLP, and speech processing, and I enjoy turning complex data into practical, scalable solutions.

I thrive at the intersection of research and deployment, mentoring junior researchers, and delivering measurable business impact.

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Experience Level

Expert
Expert
Intermediate

Language

French
Fluent
English
Advanced

Work Experience

Deep Learning Engineer at Nuant Paris
November 1, 2024 - November 7, 2025
Designed agentic systems for automating search for liquidity providing strategies using LLMs (code generation, evolutionary algorithms, reinforcement learning). Contributed to the blockchain simulation software (in Rust).
Lead Data Scientist at CATIE Bordeaux
October 31, 2024 - October 31, 2024
Led the R&D activities in AI (NLP, LLMs, multimodality). Optimized pretraining and inference of T5 based models. Decreased pretraining cost by 4x. Co-supervision of a PhD student (deep reinforcement learning and combinatorial optimisation).
Data Scientist at CATIE Bordeaux
January 31, 2023 - January 31, 2023
Developed ML models for various clients: anomaly detection model for pills with tight latency constraints (5ms) reducing false positives by 30%; a speech-to-text model in French with noise robustness and alphanumeric performance achieving strong WER; volatility models for currency pairs using generative time series modeling; applied ML to robotics (face recognition, grasping, speech-to-text) in CATIE Robotics; 3 competition awards.
Research Engineer in Machine Learning at CNRS & LIRMM Montpellier
September 1, 2017 - September 1, 2017
Developed ML approaches for 2D/3D point cloud classification based on oriented matroids. Optimized matroid bases computation using custom CUDA kernels (speed-up 1000x).
PhD Student (Mathematics) / Postdoctoral Researcher at Université de Montpellier & Aix-Marseille Université
August 31, 2016 - August 31, 2016
PhD studies in graph and matroid theory; teaching in Computer Science. Postdoctoral research in graph and matroid theory.

Education

PhD in Mathematics at Université de Montpellier
January 1, 2011 - November 1, 2014
MSc in Mathematics at Université de Montpellier
January 11, 2030 - June 1, 2011
BSc in Computer Science at Université de Montpellier
January 11, 2030 - June 1, 2009

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Financial Services, Telecommunications, Life Sciences

Experience Level

Expert
Expert
Intermediate

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