Overview
Quinten Rosseel is a co-founder of Ella Energy AI, a role he took up in April 2026. He is based in Brussels and works in lakehouse architecture, Databricks, Apache Spark ML, data science and machine learning.
Before that he was an AI engineer at Wobby.ai from August 2024 to April 2026. He joined Atlas Copco in February 2023 as a data scientist working on knowledge graphs and graph machine learning, then moved to a data and ML platform engineering and architecture role there until August 2024. He was also CTO of Nemeon from April 2023 to August 2024 and an advisory board member at Cronos from September 2023 to August 2024. He founded dotdash in September 2021 and was its managing partner until August 2024, having earlier founded Humain, now part of RoboRana, where he was managing partner from September 2019 to January 2022.
His earlier roles include graph data scientist at VRT, big data engineer at Volvo Group, knowledge graph engineer at Slowby, data scientist at UNILIN and at Bingli, a digital creative internship at George P Johnson Experience Marketing, and graphic web design and service marketing work at SWIFT.
Rosseel studied applied computer science at Erasmushogeschool Brussel from 2013 to 2016, completed a bridging programme in computer science at the Vrije Universiteit Brussel, and took a master's in artificial intelligence there from 2017 to 2019.
Career history
In the news
- Last Wednesday a speaker at AI Tinkerers Brussels got sick. The organizers looked at the problem and made the only logical call: replace one speaker with two guys named Dieter. So Dieter Wachters and I ended up on an improvised panel about AI-assisted software development. Moderator says "Dieter, what do you think?" and we both start talking. Genuinely great format. 10/10 would recommend to other Dieters. Between the chaos: 50 screened engineers, zero sales pitches allowed, and the most honest conversation I've had about what
- Meet our office dog, Jules. He's not a great engineer, so we're looking for someone to replace him ⤵️ What you’ll work on - Energy models: forecasting, anomaly detection, peak optimization, scenario simulation - Data pipelines on a modern stack (Dagster, dbt, TimescaleDB, Polars, Modal) - Product decisions: what’s worth building and why - Articles and research on energy data - Large Language Models & Time Series Foundational Models - Full-stack development in our product (NextJS, FastAPI) What we’re looking for - Energy market
- Had a great time speaking at the PyData community last Thursday. My talk explored the role of forecasting in energy and Ella Energy AI's integration of Timeseries Foundation Models (Chronos2). DM me for slides 👀 Also loved the other talks: Jonas Crevecoeur about Dataminded's polars-dbt adapter (https://lnkd.in/erVgThqc) & Murilo Kuniyoshi Suzart Cunha about DataRoots' Agent PyTest framework, pytest-agent-eval (https://lnkd.in/efmqnzxv). Thank you Rushil Daya and Dataminded for hosting and feeding us! 🍕
- On 12 August, we're hosting our next AI Tinkerers meetup on the Agentic Software Development Lifecycle, over at Collibra (Brussels). We have an amazing lineup of builders & founders in the space (more TBA); * Arnaud Hillen (PostHog): Browser Agents for QA * Sofie Buyse (Holmes): Agentic QA * Tibo Wiels (BOND (YC X25)): AI Chief of Staff Spaces are limited, so make sure to register here: https://lnkd.in/e_T5RtQ5 Thank you for sponsoring the pizzas and venue, PostHog and Collibra! And my co-host Boris Gordts, for all your help in
- RAISE Summit in Paris is a wrap 🇫🇷 And yes, that included a heat-induced power outage that took down the entire 1st arrondissement, LE CARROUSEL DU LOUVRE. An AI conference obsessed with compute and energy, silenced by the grid. My highlights: 🔓 "Tokenmaxxing is dead" was declared from more than one stage. The theme of the day was sovereign AI: open-source models on privately hosted GPU clouds. With Baseten, Modal, Crusoe, Nebius, Fireworks AI and Together AI all present, it was a great exercise in understanding how inference
- Can a model forecast energy consumption it has never been trained on? Increasingly, yes. I'll be at the PyData meetup, talking about Ella Energy AI's work with Time Series Foundation Models like Chronos2 (Amazon) and TimesFM (Google). These models deliver strong out-of-the-box performance and adapt to new forecasting domains with zero retraining, which quietly rewrites how we build forecasting systems. What I'll (try) to cover in my slot: - Time series foundation model internals - Forecasting energy consumption in the real world -
- Ella Energy AI featured in Trends today. Our integration with the Flemish DSO, Fluvius, enables anyone to spot saving opportunities in their energy bill & contract. You can try it out for yourself, starting today 💰
Related profiles
This page shows public professional information only, each fact cited. Is this you? send a correction, or ask for removal within 24 hours, no questions asked.