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Machine Learning Engineer @ Zurich, Switzerland | Reinforcement Learning, AI Safety
Hi! I am a Research Engineer with 8 years of experience in AI/ML, specializing in reinforcement learning, and Generative AI. I am seeking opportunities in Zurich or remote. I am a Swiss permit B holder and I do not require sponsorship for work authorization. I have a background in Machine Learning, Computer Science, Control Science, Robotics and Electronics from my past education and work experience. And I am passionate for new technology and innovation, in particular on security and machine learning. Bi-lingual, at ease in international multicultural environments, enjoy team work. Quick at synthesizing and organizing ideas in a general picture when learning new subjects and facing challenging interdisciplinary problems.
Télécom Paris
Master's degree (Diplôme d’Ingénieur)
January 1, 2015 – January 1, 2017
EURECOM
Master’s Degree
January 1, 2015 – January 1, 2017
Zhejiang University
Bachelor’s Degree, Control Science and Engineering
January 1, 2011 – January 1, 2015
SonyAI
AI Engineer - Safe & Responsible Generative AI
November 1, 2023 – November 1, 2025
Zurich, Switzerland · On-site
Sea
Research Engineer - Reinforcement Learning & Generative Modeling
October 1, 2021 – October 1, 2023
Singapore
NetEase Games
Research Engineer - Large-Scale User Modeling & Real-Time Matchmaking
December 1, 2017 – October 1, 2021
Hangzhou-Shaoxing Metropolitan Area
Accenture
Consultant Intern
March 1, 2017 – September 1, 2017
Greater Nice Metropolitan Area
Perfect Deduplication
September 1, 2016 – Present
Perform cross-user deduplication on a cloud server and satisfy security requirements (confidentiality) at the same time.
Web Cache Proxy
October 1, 2015 – December 1, 2015
Simple proxy server (in python) acting as web cache to speed up Google searches. Parallelized downloads to increase the bandwidth.
Implementation of walk control for a NAO robot
September 1, 2014 – June 1, 2015
Control of the legs and of the gait switch of the robot, using the Central Pattern Generator (CPG) algorithm.
International Design Contest (IDC) Robocon tryout (training and competition), Zhejiang University
September 1, 2013 – April 1, 2014
In this contest teams must design, build from raw materials and program the embedded control system (STM32) of a robot and compete.
Dynamic Path Planning
April 1, 2013 – May 1, 2014
Automatic dynamic path choosing based on real-time traffic conditions. Based on pattern recognition and remote sensing. Project Investigator role.
Monopoly Game design and programming
February 1, 2012 – June 1, 2012
Multi-player game written in C.
Cultural Fit Analysis
The candidate has worked in diverse environments, including research-focused roles at SonyAI and Sea, and production-oriented roles at NetEase Games. The variety of personal projects, from robotics to game development, indicates a curious and versatile individual. The experience with international design contests and academic background from both Chinese and French institutions suggests an ability to adapt to different cultural and professional settings. The target role of ML Engineer aligns well with the candidate's recent experience in AI/ML.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and investigative approach (e.g., 'Project Investigator role' for Dynamic Path Planning). Experience in leading annotation quality control suggests attention to detail and leadership potential. The diverse project portfolio, from robotics to web caching, demonstrates adaptability and a broad interest in technical challenges. However, specific soft skill assessments are not available.