Worked on the backend of Wave Coaching AI App. Contributed to the back-end development of the platform using Python technologies such as Flask, FastAPI, and Langchain in a DDD architecture.

• Worked on the "Comscope" software, that analyzes in realtime the social interaction during an interview - Front-end (using Vanilla JS) and Back-end (using Twisted and AioHTTP).

• Worked on the call center training platform - Front-end (using Vanilla JS) and Back-end (using Twisted).

• Implemented several Proof-of-Concepts in the context of R&D.

• Created a trimodal emotion annotation tool for in-house dataset creation.

• Supervised an internship about visual speech detection using lip movements. The project covers the whole machine learning life-cycle from data gathering to deployment.

Created a call center training platform that emphasizes on inter-personal communication techniques.