Joseph Amigo

Hello and welcome to my profile!

Passionate about IT since I was eleven years old, I am currently a student at ENS Ulm, computer science department, as well as at HEC Paris.

I specialize in deep learning through numerous Kaggle competitions and my education.

PRACTICAL SKILLS

- Training of ad-hoc neural networks for a large number of problems (vision, audio, video, text, deep reinforcement learning, tabular data)

- Knowledge of the State of the Art (SOTA) = the best current techniques and models, thanks to passionate monitoring of scientific literature and constant practice in international Kaggle AI competitions

- Cost reduction using transfer learning

- In vision: mastery of classification, segmentation, object detection, anomaly detection, and image generation

- Deployment of AI solutions on embedded devices (including smartphones) or server clusters

QUALITIES

- Honesty

- Cost control

- Quality of work performed

- Deadline management

- Business vision thanks to my training at HEC

EDUCATION

My education at Ulm provides me with very solid mathematical foundations for understanding deep learning. Even though deep learning practice remains highly empirical, advanced mathematical knowledge in this field is clearly a competitive advantage.

Furthermore, my education does not stop at theory or deep learning; it also allows me to acquire very solid IT skills in many areas thanks to the quality (and rigor!) of teaching at Ulm (both theoretical and practical!). This makes me extremely versatile and allows me to thrive in various business challenges at all levels and to quickly master new technologies.