Orélian Kohler
About
EPF Qualified Engineer in Computer Science
EPFL-trained computer scientist with a focus on machine learning and computer vision, built up over several years of academic projects and practical engineering roles. I enjoy working close to the full stack of an AI system — from raw data to deployed model — and have done so in both startup and research contexts. Outside of ML, I have picked up meaningful experience in IT security/privacy and software development.
Social Media:
Skills
Application Security
Computer Security
Computer Vision
Concurrent Programming
Data Privacy
Data Science
Distributed Algorithms
High Performance Computing (HPC)
Image Analysis
Kotlin
Machine Learning
Python
Reinforcement Learning
Scala
Open for
fulltime
Work Experience
Hôpital du jura
2024-06 - 2024-09
Administrative Assistant (Civilian Service)
Jura
fulltime
• Supported the HR department with administrative tasks, creating and optimizing HR processes using the HRIS platform also trained the other employees on the IT tools.
Icoflex Sàrl
2025-08 - 2026-03
Computer Vision & ML Engineer
Vaud
fulltime
• Designed and built a full end-to-end computer vision pipeline under NDA — from data collection through model training, evaluation, and deployment. • Sole engineer on the project; managed scope, deadlines, and technical decisions independently with better than state-of-the-art results with 98% accuracy on test case.
EPFL AI Team
2024-12 - 2025-06
Reinforcement Learning Engineer
Vaud
parttime
• Developed and conducted research on advanced control systems for quadruped robots, focusing on stable and adaptive locomotion across diverse terrains with LiDAR. • Received the best project award.
Hôpital Du Jura
2023-11 - 2024-01
IT Consultant (Civilian Service)
Jura
fulltime
• Establishing an emergency response plan for cyberattack scenarios, and system recovery priorities. • Evaluating the actual system and finding potential vulnerabilities eliminating many potential access points
Ufity
2019-05 - 2019-08
Software Developer Intern
Vaud
fulltime
• Shipped a cross-platform fitness tracking app (Ionic) with progress visualisation, goal setting, and a gamified achievement system.
Academic Experience
École polytechnique fédérale de Lausanne -
2023.09 - 2026.03
Master of Science, MSc in Computer Science
École polytechnique fédérale de Lausanne -
2019.09 - 2023.08
Bachelor of Science, BSc in Computer Science