CV
Here's my Resume !
General Information
| Full Name | Melvin Sevi |
| Languages | French, English |
Education
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2023 - 2024 Master's degree
ENS Paris-Saclay, Paris, France - Mathematics, Machine Learning, Computer Vision
- Object Recognition and Computer Vision, Geometric Data Analysis, Kernel Methods in ML, Deep Learning, Reinforcement Learning, Graphs in ML, Generative Models for Images, Theoritical Foundation of Deep Learning.
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2022 - 2023 Master's degree
Sorbonne University, Paris, France - Applied Mathematics
- Advance probabilities, Statistics, Convex Analysis and Optimization, Jump Process, C++ programming, Computational Statistics.
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2019 - 2022 Bachelor's degree
Sorbonne University, Paris, France - Mathematics
- Probability, Algebra, Measure Theory, Numerical Analysis, Differential Equations, Topology, Functional Analysis, Arithmetic and Group Theory.
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2019 - 2022 Bachelor's degree
Sorbonne University, Paris, France - Computer Science
- Advanced Algorithmic, Artificial Intelligence and Operational Research, Cryptology, Java, C, Data Structures, Databases and SQL, Operating Systems.
Experience
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2022 - 2023 Tutor
Sorbonne University - Tutored a class of second year bachelor's students in Topology and Differential Calculus and Probability for 2 semesters
Open Source Projects
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2023 - 2024 Enhancing-IP-Adapter-Generation-Diversity
- The primary goal of our project is to enhance the diversity of IP-Adapter's image generation. We aim to ensure that synthesized images exhibit a broader range of variation while maintaining fidelity to the original text.
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2023 - 2024 Referring Image Segmentation via Text-to-Image Diffusion Models
- The goal of this project is to improve the referring image segmentation task in the Visual Perception VPD model.
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2022 - 2023 EM Algorithm for Hidden Markov Models
- I implemented the Expectation-Maximization (EM) algorithm for parameter estimation in Hidden Markov Models, demonstrating mastery over numerical probability concepts and computational statistics
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2022 - 2023 Graph Neural Networks Benchmarking Paper Review
- I completed a thorough review of the ”Benchmarking Graph Neural Networks” paper by Dwivedi et al., providing detailed explanations and insights into the findings and implications of the study.
Academic Interests
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Computer Vision
- Diffusion Models
- Motion Synthesis
- 3D Computer Vision
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Large Langage Models
- Text-to-Image
- Text-to-Video
- Text-to-Motion
- Text-to-3D
Other Interests
- Hobbies: - Football - Basketball - Chess - Music