Freelancer profile translated to English.

Description

I am a graduate of Mines Paris and hold a PhD in computer science from Paris Diderot University.

I have independently led several projects in production:

- computer vision (cloud and on-device)

- no-code (web app and PWA with Glide + backend customization with Google App Script)

- scientific package (R, Python)

- web3 (4 NFTs on-chain projects on Ethereum mainnet)

To achieve this, I have also become proficient in:

- Web (React, TypeScript, Flask, Node)

- MLOps/DevOps (AWS, Heroku)

Trained in lean methodology at Theodo, I can deploy a first PoC in less than half a day, PRODUCTION PRODUCTION PRODUCTION!

Beyond using existing algorithms, I am capable of developing original methods to best solve the posed problems (doctoral experience).

I have also founded 3 companies, two of which are in e-commerce.

Feel free to contact me to present your project so we can discuss it together!

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TensorFlow, RNN, CNN, classification, segmentation, detection, OCR, time series, API, production, neural net, scikit learn, k mean, random forest, Python, Flask, TensorFlow Serving, no code, Glide Apps, Adalo, EVM, Solidity, Cairo, Ethereum, DApp

linkedin.com/in/clementwalter

Languages

Italian
Fluent
English
Fluent
French
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

IBM
Data Scientist
MEDICAL
October 2020 - June 2022 (1 year and 8 months)
Paris, France
Automated analysis of liver scanner and MRI
Machine Learning TensorFlow Pandas Data Science
Sicara
Lead Data Scientist
TECH
September 2017 - August 2020 (2 years and 11 months)
Paris, France
Production development of machine and deep learning algorithms, primarily computer vision and Bayesian active learning.

We work with agile methodology for a rational R&D approach, balancing long-term value and short-term results.
Deep Learning TensorFlow Panda Amazon Web Services Python
Kaiko
Research Scientist
TECH
September 2015 - November 2015 (2 months)
Rome, Italy
Data analyst on the blockchain to create a model for predicting block acceptance in the blockchain based on various parameters (time, day, fees, commissions).
R Data Science Data Visualization Blockchain Data Analysis