Jean-Marc Beaujour — AI / ML Data Scientist
Ph.D. physicist and Senior Data Scientist. 15+ years across R&D for startups and Fortune 500s — LLM pipelines, deep learning, and computer vision.
Background
Jean-Marc Beaujour is a Senior Data Scientist at BrightApps, responsible for model development and implementation, data analytics and insights, collaboration and communication with client-side software developers and stakeholders, and driving innovation and improvements based on the latest AI advancements. He holds a Ph.D. in physics and brings 15 years of experience working in R&D environments for startups and Fortune 500 companies.
Recently, Jean-Marc developed a comprehensive pipeline to optimize open-source LLMs aimed at providing natural language explainability for a recommendation engine. This project improved the transparency of generated recommendations and enhanced user trust and satisfaction. He also developed a multi-agent framework using LLMs to identify potential clients, streamline the client acquisition process, and uncover new business opportunities.
Jean-Marc's expertise lies in solving real-world problems using machine learning and deep learning. With a strong background in physics, he analyzes and evaluates problems at a high level and applies cutting-edge techniques to support the team's work in machine learning and AI.
Focus areas
- Python
- PyTorch
- TensorFlow
- Cutting-edge solutions for government and business using IoT, edge computing, and real-time deep learning models.
- Linear / Logistic Regression
- Support Vector Machines
- Random Forest
- Naïve Bayes Classification
- Recommender systems
- Ensemble Methods
- Clustering algorithms
- Principal Component Analysis
- Object Detection
- Image Classification
- Image Segmentation
- Sequence Data models (RNN, LSTM)
- Deep Reinforcement Learning
- Affine Transform
- Homography
- Visual Perception
- Feature Extraction
- Reinforcement Learning
- Model-based / Model-Free RL
- Deep Reinforcement Learning
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