Description

Having worked in computer vison and neurotech, I have both industrial (R&D / production) and lab research experience. More recently, I am helping deeptech entrepreneurs on the side of fundraising and venture strategy.

My skills range from delivering machine learning pipelines to implementing from scratch theoretic models found in novel research publications.

My knowledge includes a variety of languages, tools and frameworks related to general programing but also more specifically about data science, deep learning, embedded systems.

Languages

English
Native or bilingual
Spanish
Fluent
French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km), Paris (up to 50km), Lyon (up to 50km), Marseille (up to 50km)

HCVC
Deeptech investor
PRIVATE EQUITY
April 2022 - December 2023 (1 year and 8 months)
Paris, France
Invested in hardtech companies: nuclear, semiconductor, biotech
TM Labs
Deeptech operations & strategy
TECH
February 2020 - Today (6 years and 4 months)
Paris, France
Dealflow for frontier tech investments
Partners and projects include:
Neurotech for stress relief - brainpatch.ai
Medical imaging - im-vitro.com
XAI for crypto - arquant.io
Autonomous homes - astreia.com
industrial computer vision
Cortical Labs
Computer science engineer
RESEARCH
October 2018 - November 2019 (1 year and 1 month)
Melbourne, Australia
Conducted multidisciplinary research on neural interfacing and biocomputing
Simulation of environments for embodied cognition based on cultures of cortical neurons
Implemented a framework for neurocomputation constructing feedback loops on biological neural networks
(Rust application communicating with MEA systems)
Built an efficient unsupervised artificial CNN for hebbian learning (custom operators using Pytorch)