Max LALLEMAN

💼 Professional experience

Agilytic

Data Scientist

Since 2026

Conversational AI for personalized sustainability advice

• Designed and deployed an Azure- and Dify-based chatbot that combines client data and knowledge sources to generate personalized, actionable sustainability recommendations. Implemented an agentic workflow using Dify and MCP and supported the solution from discovery and architecture through testing and handover.

Agentic document-generation automation

• Built a Claude-based workflow that retrieves structured proposal content from Notion through MCP and generates branded Word documents, including optional planning visualizations and a traceable JSON intermediate representation.

Cleaning and optimisation of a knowledge database

• Updating, improving, and cleaning a project knowledge database.
• Set up interviews with stakeholders
• Understood their needs
• Implemented tailored-made solutions
• Built views of the database
• Added or removed certain properties of the database when required
• Implemented agents to help clean and maintain the quality of that database.
• Automatically scan the database for certain invalid or empty knowledge field properties
• Provide notifications to the relevant people to improve and fill in the database

Scientific Researcher (University of Antwerp)

Doctorate in Physics: data analysis of gravitational waves 2021-2025

• Development of a Python-based data analysis framework exploiting cross-correlation which utilised advanced statistical methods for parameter estimation
• Python (scipy, numpy, pandas, matplotlib)
• The parallelization of this analysis framework on a high-throughput computing cluster
• HTCondor (DAG files, somewhat similar to Apache Spark) via Python
• Inventing and development of new Bayesian statistical data analysis method combining multiple different gravitational-wave data sources to infer whether the mass distribution of these sources is constant or not. This process was optimized using GPU’s on a computing cluster.
• Python (numpy, scipy, jax, pandas, numpyro, matplotlib)
• Monitoring and mitigating noise features in a gravitational-wave detector via a database of such features. The unknown noise features were searched for using a coherence method in the surrounding environmental channels.
• Python (scipy, numpy)
• Participated in multiple science-communication events to explain my research to people who have little to no understanding of it.
• PRESS>SPEAK
• Einstein Telescope @ Nerdland
• Dag van de Wetenschap in Antwerp
• Fusieshow

🦾 Certifications, trainings

Methodologies

• Data & statistical analysis
• Machine learning & deep learning
• Generative AI & agentic workflows
• Cloud computing

Software & programming

• Python, MATLAB
• SQL
• bash
• Docker
• Mathematica
• git
• Power BI
• Prompt engineering
• RAG
• Dify, MCP, Claude
• Azure

Certifications

• Microsoft Certified: Azure Fundamentals
• Microsoft Certified: Fabric Data Engineer Associate (DP-700)

🎓 Academic credentials

• Doctorate in Science: Physics

Universiteit Antwerpen, 2025

• MSc in Physics and Astronomy, major in Research. Vrije Universiteit Brussel, 2021

🇺🇳 Languages

🇳🇱 Dutch: native

🇬🇧 English: fluent

🇫🇷 French: good