Freelancer profile translated to English.

Description

I help companies integrate the latest technologies of the moment via Data Science / web IA/data/blockchain/web2 projects with my 5+ years of experience in IT service companies in major IT accounts.

And this with a maximum of Devops / Low-Code automation.

5 years of XP in Data Science and MLOPS

10 years as a developer and IT support

Either upstream on the Specifications, business plan and feature development side, or downstream on the Devops and application lifecycle side.

Web & Mobile Development, Devops, AI/Machine Learning, MLops, Cloud.

I work on the technologies of: Python FastApi, JavaScript, React, Angular, Flutter, Tensorflow, Gitlab CI, Docker, Kubernetes, Kubeflow, Optuna, Mongo/psql and of course 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
Automation - Anti-Fraud - AI Product Management - MLops
Model training and evaluation in Finance
Legacy code update
Serverless architecture integration for VertexAI / Kubeflow / TFX
Kubeflow cluster administration based on 3090, training of Data Scientists
Launch of AI product based on LLM for chatbots (web: brainfinance.com/faq and phone)
AI cloud integration: Dialogflow CX and AWS LEX Bedrock Connect
Continuous updating of chatbots in partnership with customer service
Technical documentation for financial audit
Monthly presentation of new AI technologies
Chatbot MLOps Dialogflow Amazon Bedrock Vertex AI tfx
SoundX AI
Data Scientist
TECH
May 2022 - October 2022 (6 months)
Paris, France
Training of tensorflow librosa AI model, Deep Learning model of CNN type to manipulate audio from FFT to image, a spectrogram without loss of quality.
CICD apple, documentation, project meetings
Integration for a haptic feedback prototype
Data science
Atos
Software developer
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
Mobile Application 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
English
TEF
CCI
2023
French

Etienne's certifications are only visible to Malt Community members

Etienne Leroy

IA-ML data && MLops Engineer | cv chatbot

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