Freelancer profile translated to English.
Back to original languageAbout Pierre
I supportSMEs**, **scale-ups**, and **product teamsin the design, industrialization, and optimization ofArtificial IntelligenceandMachine Learningsolutions, with a strong focus on production deployment and business value.
My expertise covers both classicMachine Learning(recommendation, classification, time series) andGenAI / LLM systems(RAG, agents, LangChain / LangGraph pipelines), integrated into real products and cloud environments (GCP).
Specifically, I help my clients to:
- TransformAI POCsinto robust production solutions,
- Design and maintainreliable data and ML pipelines(Airflow, SQL, BigQuery),
- Optimize the performance, costs, and **scalability of ML / LLM systems**,
Types of projects and deliverables:
- **GenAI solutions**: **RAG**, **LLM agents**, **content generation**, automated SEO,
What sets me apart:
Aninternational experiencegained withinCanadian companiesandresearch centers**, allowing me to work on high-stakes technical projects, with **high standardsof quality, traceability, and documentation.
Agreat rigorand a **keen eye for detail**: particularly meticulous on data quality, business logic, model assumptions, and edge cases.
I work on bothone-off missions(audits, scoping, POCs) andcomplete projectsorrecurring support(retainer).
French
Native or bilingual
English
Fluent
Can work on-site
Lyon (up to 50km)
Experience
- Pillar Science,Senior AI/ML ScientistTECHMarch 2025 - Today (1 year and 3 months)Montreal, QC, CanadaR&D - Academic/Industrial recommendation system (researcher/company matching)- CatBoost recommendation system for researcher-company matching.- Modular SQL pipeline with feature engineering, negative sampling, and scientific productivity metrics.- Advanced orchestration with Apache Airflow (Python, SQL, Bash).- Entity reconciliation (homonyms, institutions, companies). - Cross-functional work with product and engineering teams for production deployment.
- Index Web MarketingLead Data ScientistE-COMMERCEOctober 2022 - February 2025 (2 years and 4 months)Montreal, QC, CanadaSEO & GenAI / Cloud Automation (GCP)- LLM agent for SEO optimization (rich snippets) with LangGraph.- LLM code generation and validation (JS sandbox, tests, headless browser).- LLM pipeline for product description generation (LangChain).- High cardinality data, server optimization, and serverless architecture (Cloud Functions).- Deployment and management of applications on GCP (BigQuery, App Engine, Pub/Sub).- Contribution to a patent: mathematical modeling and technical documentation.
- Index Web MarketingData ScientistE-COMMERCESeptember 2019 - October 2022 (3 years and 1 month)Montreal, QC, CanadaMachine Learning & recommendation – large-scale marketing data- NCF recommendation model implemented in PyTorch, optimized for performance and memory.- Transfer learning via OpenAI embeddings and semantic vector search for product replacement.- Deployment of ML models on GCP and exposure via Flask API.- Optimization of Deep Learning models and serverless pipelines (Cloud Functions, intermediate storage, and cold storage).
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Education
- Engineering PhysicsÉcole Polytechnique de Montréal2017École d'ingénieur en physique
- Bachelor's degree in MathematicsUniversité Joseph Fourier2015Licence en mathématiques