Looking for a Senior Machine Learning Engineering position where I can grow and evolve as an engineer.
Seeking the opportunity to influence the technology within a company.
Develop and deploy machine learning solutions for a football media platform with news, stats, highlights and match streams.
News tagging: Researched, designed, built and deployed a custom human-in-the-loop entity linking service for tagging football news in 7 languages. Final solution makes use of referent graphs. Applied other NLP techniques like language models, NER, text classification, topic modeling. I favour data-centric ML over model-centric.
Recommenders systems: Built recommender systems PoCs using both custom and off-the-shelf algorithms.
First Data Science hire: Defined the Data Science project plan and the MLOps stack. Built quick wins like prophet forecasting or XGBoost classification for tabular data or templated news generation slackbot.
Data Consumption: [for humans] introduced Metabase. [for machines] built blueprints for programmatic data consumption using APIs, emails, slackbots, Redshift Data API, Redis or S3 unloads.
Data Engineering: Refactored parts of OneFootball's analytics stack: roll out airflow for scheduling and ingestion, roll out dbt for data modeling on the Amazon Redshift Data Warehouse. Architecture design and code reviews.
Curiosity-driven side hustle with reasonable hours
Data Solutions: Built data stack for entrepreneurship NGO and fintech startup. Deliver airflow workshop for automotive digital lab.
Teaching: Built and taught ML and IoT classes for engineering MBA in Paris.
Open Source: Contribute to pytextrank and kglab of Paco Nathan. Contribute to Apache Airflow.
London-based accelerator turning strangers into startup founders.
CTO: Failed raising 1M€ seed round as CTO after 4 months incubation.
Computer Vision: Used deep learning computer vision to build a scalable hiring personality screening. Worked with Isabelle Guyon's research group.
Mobile app AI coach for League of Legends competitive gamers.
Deep Learning: Built a Neural Networks recommendation engine in tensorflow to coach eSports players.
Measuring online earned media for Automotive and Cosmetics brands using NLP and web crawlers.
Software development within the Digital Innovation team of R&D UK centre of an energy leader.
Data mining for photovoltaics energy storage optimisation within he Power Electronics R&D team.
Sharing my thougts and learning to write.
1k+ users per month
Ranking #1 on google.com for fastapi monitoring and for amundsen dbt
Journaling with Obsidian for research use as well as personal use. Applying Knowledge Graphs.
Playing football and analysing your Strava data.
Using plaintext double-entry accounting for your personal finances with beancount.