
Timeline
About me
Machine Learning Engineer | Interpetable Reinforcement Learning PhD
Education

Fontys university of applied sciences
2015 - 2016Bachelor of applied science - basc mechatronics, robotics, and automation engineeringRelevant Coursework: Mechatronic design, Electrical networks, Mechanics, Digital design, C-programming, Mathematics, Integrated design techniques, General engineering skills, Communication and presentation techniques

École normale supérieure paris-saclay
2021 - 2022Master's degree mathematics, computer vision, machine learning, mva
University of lille 1 sciences and technology
2016 - 2019Bachelor of applied science - basc mathematics and computer scienceRelevant Coursework: Algorithms, Computer Architecture, Data Structures, Discrete Mathematics & Probability, Probability & Statistics in Data Science, Linear Algebra & Differential Equations, Object Oriented Programming, Programming of Systems, Algorithms & Operations research

University of lille 1 sciences and technology
2019 - 2021Master of science - ms mathematics and computer science
Experience

The university of british columbia
Jun 2018 - Sept 2018Research intern (caris lab)The Mitacs Globalink Research Internship is a competitive initiative for international undergraduates from various countries. Each year, top-ranked applicants participate in a 12-week research internship at a Canadian host university.I was chosen to work on The Collaborative Robot Project 2018, as part of CARIS Lab.During the internship, I had the chance to: - Develop a Gesture recognizer using the MYO Armband - Participate in the development of an Autonomous Pedestrian Robot - Explore various research papers related to projects (on topics such as robot navigation, object detection and avoidance, image processing) - Explore various new hardware and Linux system tools Show less

Inria
Jan 2019 - Apr 2019Research intern (label recherche) (team sequel)Discovering the problems of Reinforcement Learning. Exploring principles, in particular: Markov decision problems, Bellman equation, Q-Learning algorithms. Realization of programs implementing Q-learning.

Vekia
Apr 2019 - Sept 2021Machine learning engineer
Thales
Apr 2022 - nowPHD Student
Nov 2022 - nowResearch Intern
Apr 2022 - Nov 2022
Licenses & Certifications

Diplôme d'études en langue française dalf c2
Jan 2019
Cambridge english: proficiency (cpe) – cefr level c2
Cambridge assessment englishJan 2013
Honors & Awards
- Awarded to Ivelina StoyanovaMitacs Globalink Research Internship Grant - Jun 2018 Awarded grant for completing a Research internship at UBC Vancouver (June - September 2018).
Volunteer Experience
Community Organizer
Issued by Red Cross Youth on Jan 2013
Associated with Ivelina Stoyanova
Languages
- enEnglish
- frFrench
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