Clément Fang
About Clément Fang
Clément Fang is an Image Processing Engineer currently working at Smiths Detection in Vitry-sur-Seine, France. He has a background in machine learning and computer engineering, with previous roles at various organizations including LSE - EPITA Systems Laboratory, Groupe Renault, and Siemens Healthineers.
Current Role at Smiths Detection
Clément Fang has been employed as an Image Processing Engineer at Smiths Detection since 2021. He works in Vitry-sur-Seine, Île-de-France, France. In this role, he focuses on developing and implementing image processing solutions that enhance the company's detection technologies.
Previous Experience in Image Processing and Machine Learning
Prior to his current position, Clément Fang worked at Siemens Healthineers as an R&D engineer for six months in 2020 in Princeton, New Jersey. He also served as a Machine Learning Researcher at LSE - EPITA Systems Laboratory from 2018 to 2019 in the Paris Area, France. His experience includes a brief tenure at Groupe Renault in 2017, where he worked on interface development using Qt.
Educational Background in Computer Engineering
Clément Fang studied Computer Engineering at EPITA: Ecole d'Ingénieurs en Informatique, where he earned a Master's degree from 2015 to 2020. He also studied at Oxford Brookes University in 2017, furthering his knowledge in the field of computer engineering.
Workshops and Competitions in Machine Learning
Clément Fang has facilitated four workshops at the Google ML Academy, focusing on the fundamentals of machine learning. He achieved a top 10 ranking in France and a top 150 ranking globally in the 2020 Google Hashcode competition using C++. Additionally, he participated in various hackathons, including securing second place in the HackTaFerme hackathon for developing a machine learning solution to assess grape health through images.
Engagement in Coding Challenges and Hackathons
Clément Fang actively participates in coding contests on LeetCode to improve his problem-solving skills. He has also been involved in several hackathons, including the Global AI Hackathon, where he contributed to a Discord bot for detecting fake news, and the IG Charity Hackathon, where he developed a user detection form with a team.