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Achievement: Pull Shark

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Achievement: Pull Shark

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B-Deforce/README.md

Welcome to My GitHub Page!

👋 Hi there! I recently obtained my PhD developing machine learning solutions for real-world time-series problems at KU Leuven LIRIS and at Carnegie Mellon University. I worked on time-series forecasting and anomaly detection with sensor data. My research focused on developing innovative methods that enhance the reliability and efficiency of complex systems.

💬 Chat with my PhD thesis or access the pdf here.

🚀 Alongside my academic pursuits, I also started an eyewear company during my PhD, called Naos Optics. Previously, I've worked at Deloitte as a data scientist/consultant and at Amazon as an Applied Scientist II (internship).

🔗 Connect with me:

Thank you for visiting my page. Feel free to explore my repositories and get in touch if you find any project interesting or want to collaborate!

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  1. health-coach health-coach Public

    This project implements a multi-agent health coach and integrates with Oura-ring data.

    Python

  2. strong-force-projects/thesis-gpt strong-force-projects/thesis-gpt Public

    This project contains code for ThesisGPT, an LLM-based app that connects with my PhD thesis and provides answers to queries about the thesis.

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  3. roundtable roundtable Public

    This project implements a multi-agent roundtable discussion system using AI agents.

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  4. vmm vmm Public

    Contains code to build an LLM-based classifier (uses GEOBERTje as base) for geological data descriptions.

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  5. robust_ds_code robust_ds_code Public

    Contains code and examples for the postgrad class on writing robust and reproducible data science code.

    Python 3

  6. TSA-on-autoPilot TSA-on-autoPilot Public

    This repository contains the code for TSA on AutoPilot: Self-tuning Self-supervised Time Series Anomaly Detection.

    Python 2