💼 Professional experience
Agilytic
Data Science Expert Since 2024
- Healthcare: Designed and delivered a secure, fully on-premises RAG knowledge assistant using Dify, self-hosted LLMs, dual-GPU infrastructure, Docker, and automated refresh pipelines. The solution indexed eight Confluence spaces, approximately 100,000 Jira tickets, PDFs, and DOCX files while meeting strict healthcare privacy requirements.
- GenAI integration patterns (RAG, tool calling, agentic workflows, evaluation and monitoring)
- LLM solution architecture (model selection, prompt and context engineering, fine-tuning, guardrails)
- Advanced data science (forecasting, anomaly detection, causal inference, graph analytics)
- Complex cloud and data-engineering design (pipelines, lakehouse, vector stores, CI/CD, security and cost optimization)
Partenamut
Machine Learning Expert 2023-2025
- Assisting the Data Science team in improving and deploying AI solutions to the cloud
Technologies : R, Shiny, Python, Power BI, SPSS
EisphorIA SRL
CTO / CSO and co-founder 2019-2023
- Business strategy and management. Supervision of the technical development and strategic positioning of the data-oriented start-up. Supervision of the data science and dev teams.
Technologies: Python, TensorFlow, R, Elastic Search, AWS Glue, AWS Athena, Snowflake, Tableau
University of Namur
Team lead customer analytics 2019-2023
- Graph mining, Big Data, AI & Computer security courses + Interdisciplinary projects mentoring.
Technologies used: R, SAS, Google BigQuery, DB2, Microstrategy
GeoLabe LTD
Co-Founder 2016-2019
- Supervision of the technical development of the data-oriented start-up, creation of smartphone applications. Co-supervision of the data science team
Technologies: R, SAS, Rank, SQL Server, Amadea
VDDM SARL
Co-Founder 2017-2019
- IT consultancy, supervision of development projects for web /smartphones.
🦾 Certifications, trainings
Methodologies
- Machine Learning:
- Classical approaches (regressions, SVM, decision trees, ...)
- Neural networks (including deep, convolutional, ...)
- Transfer learning / reinforcement learning / boosting
- Temporal analysis (ARIMA, LSTM, ...)
- Encoder-decoder architectures
- Natural Language Processing, incl.Generative AI (Large Language Models)
- Graph mining / networks approaches
- Clustering
- Causal inference
- Data Engineering:
- Microservices (Docker, Kubernetes, ...)
- Hadoop / Spark
- Dashboarding and BI solutions
- Server configuration and cloud solutions (GCP / AWS / Azure / OVH / Scaleway / ...)
- Edge computing
- Security protocols
- Smart contracts and blockchain
- API creation
- Data Storage:
- Relational databases (MySQL, MSSQL, PostgreSQL, Oracle DB)
- Nonrelational databases (Mongo, Cassandra, ...)
- ElasticSearch
- Graph databases
- Data lakes
- Parquets
Software & programming
- Programming languages (production level products using any of the following):
- C / C++ / C#
- Python
- Java / Kotlin
- Objective C / Swift Javascript (with frameworks)
- Markup (including html/css)
- R
🎓 Academic credentials
- Maitre de Conference (sec.26) qualification, 2016
- PhD in Science, University of Namur, 2015
- Master in Complex Systems, Ecole Normale Supérieure de Lyon, 2012
- Master in applied mathematics, Moscow State Lomonosov University, 2012
🇺🇳 Languages
🇷🇺 Russian: Native
🇫🇷 French: professional proficiency
🇬🇧 English: professional proficiency
🔐 Proprietary and confidential. 💡 Profile CVs are provided for illustration purposes. ✅ Planning of specific experts will be secured upon formal agreement.