What I'm Leanring Now
My Story
I'm passionate about machine learning, software engineering, and entrepreneurship. In my free time, my curiousity drives me to explore new technologies and computer science topics.
HEIG-VD
I am currently studying at HEIG-VD in order to deepen my knowledge in machine learning. I am also working as a student assistant working on various ML and MLOps projects.
Scrapeout
A data analytics company I founded focused on fraud prevention and detecting conflicts of interest. I was able to learn about real life entrepreneurship and manage challenges along the business growth.
EPFL Entrepeneur Club
During my studies, I was a member of the EPFL Entrepreneur Club where I was able to learn from and collaborate with other entrepreneurs.
Ecole Polytechnique Fédérale de Lausanne
I discoved my passion for computer science here at EPFL. I studied Java OOP programming and numerical analysis.
Works
Greenland Supraglacial Lakes Detection
This project was part of a ACM SIGSPATIAL competition. The goal was to segment supraglacial lakes in Greenland using satellite images. We worked in a team of 5 at HEIG-VD and obtained 1st place.
SIGSPATIAL
1st Place
Swiss License Plate Detection
This project was part of research into Machine Learning Operations (MLOps) at HEIG-VD. It is comprised of two models: one for detecting the license plate and another for recognizing the characters. The key feature is a custom license plate generator in order to train on synthetic data.
A Guide To MLOps
Contributed in building a machine leaning operations guide for companies and Master students to apply.
MEMsched
MEMsched is an online platform that allows users to create widgets to share their progress with the world.
Scrapeout
Scrapeout is my most ambitious project to date. It has now become a full web tool that helps companies identify conflict of interest in their data in order to take more informed decisions.
1st Place
Certified
Habit Tracker App
The inspiration was to create a habit tracker app that would be able to track your daily activities and habits. Based on this data, it would find patterns and connections between your habits and activities.
Captcha Solver
The goal of this project was to create a neural network that could solve 6 character captchas from Amazon. I achieved an average accuracy of 93%.
SlitherIO RL
The project was to create a neural network that could play the game SlitherIO. The agent was trained using A2C (actor to critic) reinforcement learning. The agent was able to collect food and avoid other snakes.
Pac-Man
Remake of the classic Pacman game. This project was done in a team of 2 for the Introduction
to Programming (CS-107) course at EPFL.
It includes all ghosts and their AI, a map editor, a leaderboard system, custom menu and more.
Award