Presentation

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Hi! My name is Nathan Hoche, and I am a French developer specialized in Deep Learning. I recently started working in Generative AI at Axis Communications, and I am now based in Sweden. I recently completed a MSc in Computer Science at Epitech. Prior to this, I obtained a MSc in Artificial Intelligence at the University of Kent, where I explored the intricacies of AI technologies and their applications. I fell in love with Artificial Intelligence years ago, and I decided to dedicate my career to it, convinced that AI can improve the world of tomorrow.

Education

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Master Degree in Computer Science

Study on computer science in general (Web Development, Mobile, Software, DevOps, AI, ...), through different projects either individually or in groups.
During my scholarship, I learn a lot of different languages (C, C++, HTML/CSS, JS, TS, Python, Haskell, ...), a lot of different technologies/frameworks (React, React Native, Express, Flask, Docker, ...), but I also acquired a lot of soft skills in order to handle project or group (ex: Agile, Jira, Git, ...).

A part of my school project can be found here.

Master Degree in Artificial Intelligence

In depth study of Artificial Intelligence: Machine Learning, Deep Learning, Data Science, Natural Processing, ...
This year allowed me to specialize in Artificial Intelligence and to gain a strong theoretical knowledge. (Epitech was only focused on practice, while Kent was focused on theoretical aspect)

My final dissertation can be found here.

Professional Experience

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Generative AI Engineer

As the job did not started yet, I cannot give more information!

Internship as an Intelligence Artificial Engineer

Implementation of Artificial Intelligence models for a quadruped robot, specifically:
- Establishment of the state of the art for various tasks, followed by the implementation of the corresponding models.
- Integration of the different models, enabling seamless interaction and collaboration between them.
- Benchmarking and optimization of these models to ensure optimal performance and handle real-time inference efficiently.

I was in charge of the robot Vision, Perception and Interpretation systems, which included the implementation of models for: Voice Activity Detection, Speech To Text, Command Identification (based on NLP), Text Generation (LLM), Text To Speech, Image Captionning, Object Detection, Object Segmentation, Object Tracking and Depth Estimation.
These models were integrated and implemented to support a wide range of robot capabilities and functionalities.

Data Science Internship

- Implementation of scraper / crawler to retrieve product information from over 50 websites.
- Implemented selenium to manage sites that were too complex.
- Management and documentation of scraper under puppeteer.
- Training and support for new trainees.

Data Science Internship

Implementation of scraper / crawler to retrieve product information from over 30 websites.

Volunteering

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Association

Organisation of more than 10 talks and 20 workshops for lower grades Epitech students
The talks and workshops I organized were focused on Artificial Intelligence, Web Scraping and Web Development.

Association

Organisation of talks and workshops for teenagers/children to encourage diversity in IT.