Lucas Cosier

Lucas Cosier

MSc in Computer Science | Co-Founder at TeesyTek

ETH Zürich

Disney Research

TeesyTek

Welcome to my personal space!

I’m a machine learning engineer from Romania, and co-founder at TeesyTek, where we develop robots for golf. Concurrently, I am finishing my Master’s degree at ETH Zürich, where I am tackling the task of video compression through reinforcement learning as part of the Computer Graphics Laboratory, in collaboration with Disney Research. Previously, I’ve made strides in probabilistic motion planning within robotics, as part of the Statistical Machine Learning Group at UCL.

My passion for technology is matched by my enthusiasm for meaningful conversation on a range of topics. I’m open to collaborative ventures or discussions on new opportunities. Feel free to reach out!

Interests
  • Robotics
  • Machine Learning
  • Computer Vision
  • Optimization for Embedded Systems
Education
  • MSc in Computer Science, 2024

    ETH Zürich

  • BASc Liberal Arts, 2021

    University College London (UCL)

Experience

 
 
 
 
 
TeesyTek
Co-Founder/ Machine Learning Engineer
Jul 2023 – Present Zürich, Switzerland

Responsible for the development, testing and release of all functionalities of Golf-e

  • Research and develop high throughput, robust computer vision solutions that achieve 95% accuracy under time constraints (<2s execution)
  • Build high-performance, memory efficient, concurrent systems for Rockchip 3588 SoC
  • Architect and deploy machine learning models on the cloud for scalable and reliable performance

Skills: Python, Computer Vision, Optimization, Robotics, AWS, SageMaker, Serverless

 
 
 
 
 
ETA AI Center
Research Intern
Oct 2022 – Jan 2023 Zürich, Switzerland

Responsible for the development, testing and release of all functionalities of Golf-e

  • Derived first sample complexity results for inverse reinforcement learning algorithms operating on continuous state-action spaces
  • Employed Gaussian Processes to drive optimistic exploration under generative model of environment, which enabled tight error bounds on the recovered reward

Skills: Python, Reinforcement Learning, Machine Learning

Contact

Feel free to reach out to me…