01 / Before building
Make the launch decision safer
Clarifying feasibility, available data, and risks before committing to development.
See the audits ->Data Science / Machine Learning / Technical audits
More reliable complex systems through Data Science
From scoping to production, I work on decision-making, computer vision, and machine learning problems that need to work in the real world.
References
Services
End-to-end expertise, from scoping to production
- Audits and technical decision-making
- Design and industrialization
Audits and technical decision-making
01
Feasibility audit
Assessing technical relevance, available data, and the conditions for success before development.
02
Blocked project diagnosis
Identifying the causes of a blocked project and building a recovery plan before production.
03
Technical due diligence
Evaluating a platform, architecture, or software product before investment.
Design and industrialization
04
Optimization & operations research
Optimizing processes, scheduling, and industrial recipes under real-world constraints.
05
Reinforcement Learning
Scheduling and control agents for production and supply chain.
06
Industrial computer vision
Quality control, rare defects, and workstation analysis in factories, with GDPR-native design.
07
Generative AI & agents
Agentic LLM systems and retrieval over your domain data, with evaluation and guardrails.
08
Causal inference
Measuring the true effect of a decision through testing and counterfactual methods.
09
Recommender systems
Personalization at scale, from classical methods to Graph Neural Networks.
10
Production & MLOps
Data pipelines, CI/CD, monitoring, and FinOps for sustainable production systems.
Method
A clear progression from risk to production
02 / Give it direction
Define the right problem before the right model
Aligning the use case, success metrics, and architecture with business teams.
See the scoping ->03 / Prove value
Measure what works on your real data
Build proof of value and choose an approach justified by the data and the field.
See the AI expertise ->04 / Make it durable
Make the system reproducible and observable
Deploy with tests, monitoring, clear documentation, and sustainable costs.
See industrialization ->05 / Hand over
Go to production without losing understanding
Document, transfer, and leave teams with a system they can operate over time.
See the projects ->Case studies
Real-world cases, in industrial settings
Agri-food / InVivo
Malting recipe optimization
Predictive models and optimization algorithms for recipe recommendation at Soufflet maltings, plus a FinOps overhaul of data ingestion pipelines.
-50 %
data processing cost / time
Automotive / Forvia
Reinforcement Learning scheduling
RL agent for parts replenishment on production lines to reduce line stoppages, with supply-chain demand forecasting. Technical lead of a team of 3 to 5 data scientists.
2019-2023
projects deployed in plants
Pharma / AstraZeneca
AI for clinical trials
Multimodal ML models and agentic LLM systems with retrieval over clinical and biomedical data (rare diseases), from scoping to deployment.
2026
engagement start
// Excerpts from salaried and freelance experience, detailed references on request.
Testimonials
"Thanks to his skills and expertise in data science, software development and MLOps, he was a key player in scaling the solution. His ability to understand problems, solve them and bring the team along makes Medhy a major asset to any data team."
"Even when projects were difficult, he made sure to do whatever it took to build a product that turned the client's vision into reality. He makes sure his work is clearly understood by clients, even non-technical ones."
"Medhy is an excellent problem solver with an impressive ability to work with complex data and use machine learning algorithms to deliver relevant results. I strongly recommend Medhy for any engagement requiring data analysis and machine learning skills."
"On top of his professionalism and reliability, he brings proven technical skills. As a fellow Data Scientist, I can only recommend his work."
Products & open source
Selected work
Limier
Generative AIFreelance mission matching platform: five platforms aggregated live, natural-language criteria, and relevance ranking against the resume with explanations. Designed, built and operated by Myelink, from first prototype to production.
Read the articleHarvest
Generative AI GeospatialConversational search engine for local food: from a natural-language grocery list to nearby producers, through a LangGraph agent and PostGIS geospatial queries.
Read the articleHint
Operations research Genetic algorithmsOptimizer for company director pay: multi-objective constrained genetic algorithm over a full simulator of French taxation. A Pareto front, not a single imposed compromise.
Read the articleDona
Generative AILocal-first agentic personal assistant: three-branch router, hybrid retrieval, calendars and banking through MCP, code-validated citations.
Read the articleUAV Autonomous Control
Robotics Linear Algebra3D UAV simulation and autonomous drone control for path tracking, in Python.
Read the article
Medhy Vinceslas
Founder, Myelink EURL
Founder, Myelink EURL
About
A single point of contact, accountable for results
I'm Medhy Vinceslas, an independent senior Data Scientist. I work on complex decision-making, computer vision, and production engineering problems, with a strong focus on getting systems into production. I founded Myelink in 2024 to work directly with the teams behind these challenges.
- Pharmaceutical
- Agri-food
- Automotive
- Media
- Sports
- Real estate
10+
years of experience
3
Myelink products in production
7+
client projects in production
PyTorch
official tutorials contributor