Description

J'aide les entreprises à intégrer les dernières technologies du moment via des projets Data Science / web IA/data/blockchain/web2 avec mes 5 ans et plus d'expérience dans les ESN en IT grand comptes.

Et ce avec qu'un maximum d'automatisation Devops / Low-Code.

5 ans d'XP en Data Science et MLOPS

10 ans en développeur et support IT

Soit en amont côté Spécifications, business plan et développement de fonctionnalité, soit en aval côté Devops et cycle de vie de l'application.

Developpement web & Mobile, Devops, IA/Machine Learning, MLops, Cloud.

J'interviens sur les technologies de: Python FastApi, JavaScript, React, Angular, Flutter, Tensorflow, Gitlab CI, Docker, Kubernetes, Kubeflow, Optuna, Mongo/psql et bien sûr Linux.

Languages

English
Native or bilingual
French
Native or bilingual
Italian
Basic
Spanish
Conversational

Workplace preferences

Remote only

Primarily works remotely

Brainfinance
Data Scientist
BANKING AND INSURANCE
January 2023 - Today (3 years and 5 months)
Montréal, Canada
Automatisation - anti Fraude - Gestion de produit IA - MLops
Entraînement de modèle et évaluation en Finance
Mise à jour de code légacy
Intégration architecture serverless pour VertexAI / Kubeflow / TFX
Administration cluster kubeflow à base de 3090, formation des Data Scientists
Lancement de produit IA à base de LLM pour chatbots (web: brainfinance.com/faq et phone)
Intégration cloud IA: Dialogflow CX et AWS LEX Bedrock Connect
Mise à jour continue des chatbots en partenariat avec le service client
Documentation technique pour audit financier
Présentation mensuelle nouvelles technologies IA

Chatbot MLOps Dialogflow Amazon Bedrock Vertex AI tfx
SoundX AI
Data Scientist
TECH
May 2022 - October 2022 (6 months)
Paris, France
Entraînement de modèle d'IA tensorflow librosa, modèle Deep Learning de type CNN pour manipuler l'audio de FFT vers image, un spectrogramme sans perte de qualité.
CICD apple, documentation, réunion de projets
Intégration pour un prototype à retour haptique

Data science
Atos
Développeur logiciel
DIGITAL AND IT
November 2019 - July 2022 (2 years and 7 months)
Toulouse, France
-> Development of embedded system (Nvidia Jetson Nano) with apps
| Mobile angular app
| Design functional/tech specs and build microservices
| Microservices orchestration with Docker and Kubernetes K3S
| System design and capability testing dependencies on arm64 Linux
| Linux administration for embedded device (connect, monitor)
| Embedded product casing and utility constraints review with CAD
-> Data-apps Projects including microservices, low code, documentation
| Build services to receive, parse and store data in Python and Java
| Integration of apps into docker-compose then K3S
| Code refactoring up to the integration of low code UI (NodeRed)
| Db scripts to init database in docker from scratch
-> Open source integration of monitoring interfaces apps
| Integration of Grafana stack with InfluxDB to monitor data
| Database review and design using Postgres sql with ORM
| Import export CSV/db using scripts to start Docker containers
| Creation of a custom slider ui component
-> Predictive maintenance use case development
| Docker gpu passthrough for AI app
| Continuous Integration pipeline build on GPU with Gitlab API
| Deliver jobs on gpu accelerated machine thanks to Gitlab-CI SaaS
-> Deployment of Backend AI server (KubeFlow) on production servers
| Deployed 3 kubernetes / k3s clusters in multiple ways
| On premise / Google Cloud using K8S and Arrikto
- > Student enrollment backend jobs
| Build a CI solution to evaluate student AI models
| Review student projects integration (Angular/Express)
- > Cloud Gitops platform creation experience
Providing developer pov for a custom Gitops platform using Terraform, Apigee (api management), Okta (access control) and Github supported on major public cloud provider

- iot/csv data exploration with Python Pandas
- dashboarding and custom interactive app using Dash-Plotly(Python)
- deployment on a k8s cluster Devops side project
- Mount CI pipeline to evaluate models on most popular AI frameworks (TensorFlow, Pytorch, Yolo) MachineLearning Ops side project:
- Deploy and explore capability of Kubeflow to help standardisation of AI workflows Edge device with AI:
- Experience on edge computing for computer vision on Nvidia boards using open-source software.
- Use of TensorFlow object detection frameworks in a Containerized micro services environment.
- Other achievements includes k8s/k3s deployments, Gitlab CI testing for NodeJS application.
- Touch friendly app development in Angular/Express for improved supervised deep learning by moving labels on pictures
Application Mobile Python Angular Kubernetes Docker Machine learning Typescript

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Bachelor's degree, Ingénierie Conception Prototypage
Université Paul Sabatier (Toulouse III)
2016
Bachelor's degree, Ingénierie Conception Prototypage
Mécanique et énergétique
Université Toulouse 3
2014
Matrices calculus, FEM, static load, partial derivatives, Fourier transfer, Fluids, Optics

Check out Etienne's education

Toeic Writing Listening 970
ETS Global B.V.
2018
Anglais
TEF
CCI
2023
Français

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Etienne Leroy

Ingénieur IA-ML data && MLops | cv chatbot

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