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Hi, I'm Fabien!

Fabien Houang

Data / AI / ML Engineer

As a Data / ML Engineer, I help clients leverage the power of data and AI to solve complex problems and create value.

I have several Google Cloud certifications, including Professional Data Engineer, Cloud Architect, and Machine Learning Engineer, which demonstrate my proficiency and expertise in cloud-based data engineering and machine learning solutions.

I am passionate about data and AI, and I always seek to expand my knowledge and skills in this fast-growing field.

Let’s connect and explore data and AI innovations together!

Google Cloud Certified Professional Data Engineer
Google Cloud Certified Professional Cloud Architect
Google Cloud Certified Professional Machine Learning
Google Cloud Certified Professional Cloud DevOps Engineer
Google Cloud Certified Professional Cloud Database Engineer
Google Cloud Certified Professional Cloud Security Engineer
Google Cloud Certified Professional Cloud Developer
Google Cloud Certified Professional Cloud Network Engineer
Google Cloud Certified Cloud Digital Leader

Skills

Experiences

1
Groupe Rocher

Jan 2024 - Oct 2024

Paris, France

Groupe Rocher is a French multinational company known for its expertise in natural beauty and personal care products. Founded in 1959 by Yves Rocher, the company focuses on creating eco-friendly, plant-based products for skincare, hair care, and fragrances. Groupe Rocher is committed to sustainability and responsible sourcing, with an emphasis on using botanical ingredients and reducing its environmental impact. Its brands, including Yves Rocher, Arbonne, and Stanhome, are recognized for their high-quality formulations and commitment to environmental and social responsibility.

Senior Data Engineer

Jan 2024 - Oct 2024

Responsibilities:
  • Contributed on building a data platform to process Consumers’ data on GCP
  • Extracted and computed relevant metrics to drive business decisions
  • Created data processing pipelines on Google Cloud Platform using Cloud Composer as orchestrator
  • Stored batch and streaming data from Dataflow in BigQuery tables
  • Processed 10+ TB of Consumers and Sales data (Data about consumers, fidelity program, welcome offers, mobile app, digital wallets, client activity, store/online sales, …) to extract valuable data for business needs
  • Created SQL scripts in BigQuery and optimized legacy codes
  • Collaborated with different teams to receive data on Google Cloud Platform and send computed data to feed applications
  • Created and maintained technical documentation on Confluence
L'Oreal

May 2021 - Sep 2023

Paris, France

L’Oréal is a global leader in the beauty and cosmetics industry, known for its wide range of products in skincare, hair care, makeup, and fragrance. Founded in 1909, the French multinational company has grown to include a portfolio of iconic brands like Lancôme, Maybelline, Garnier, and Kiehl’s. L’Oréal is committed to innovation, diversity, and sustainability, offering high-quality products that cater to a variety of consumer needs across the globe. With a focus on research and development, L’Oréal continues to shape the beauty industry while promoting inclusivity and environmental responsibility.

Data Engineer

May 2021 - Sep 2023

Responsibilities:
  • Collaborated on building data platform for Sourcing domain-specific data, to ingest and process suppliers, spending, and contracts data on Google Cloud Platform
  • Worked on L’Oreal Beauty Tech Data Platform and collaborated on an agile work environment for 2+ years
  • Created data processing pipelines on Google Cloud Platform using Terraform to deploy infrastructures as code
  • Processed 10+ TB of Sourcing data (Data about suppliers, contracts, compliances, raw materials, spends, …) to extract valuable data for business needs
  • Configured Cloud Workflows and Cloud Scheduler to orchestrate and automate processing steps
  • Stored processed data in tables and created views in BigQuery
  • Collaborated with Microsoft Power BI developpers to feed data into Data Visualization Dashboards
  • Exposed data through API implemented with Flask, running on Cloud Run
  • Setup authentication through Azure Active Directory and Apigee to access data from GCP
  • Created and maintained technical documentation on Confluence
2
3
SIEMENS HEALTHINEERS

March 2019 - March 2020

Princeton, New Jersey, USA

Siemens Healthineers is a global healthcare technology company that focuses on medical imaging, laboratory diagnostics, and healthcare IT solutions. A subsidiary of Siemens AG, it provides innovative products and services designed to improve patient care, enhance the efficiency of healthcare systems, and drive advancements in medical science. Siemens Healthineers offers a broad portfolio of technologies, including diagnostic imaging, point-of-care testing, and digital health solutions, and plays a key role in shaping the future of healthcare through its cutting-edge technologies and global reach.

Research Engineer

March 2019 - March 2020

Responsibilities:
  • Collaborated on Deep Learning project for real-time 3D cardiac chambers modelization using 3D ultrasounds time series medical data
  • Trained Multi-Agent Deep Reinforcement Learning for landmarks detection
  • Implemented and trained 3D volumes classification models on unbalanced dataset
  • Optimized production code speed and optimized models hyper-parameters
  • Achieved 3x faster and 10% more accurate modelization than the base solution
III-FINANCEMENTS

September 2017 - February 2018

Paris, France

Full Stack Developer

September 2017 - February 2018

Responsibilities:
  • Developed a management web application and statistical analysis dashboards
  • Designed Front-end, Back-end, and Database Modeling using Ruby on Rails
  • Deployed the application and is currently used by more than 80% of the staffs
4
5
LRDE - EPITA R&D LAB

January 2017 - September 2017

Paris, France

Research student

January 2017 - September 2017

Responsibilities:
  • Worked with G.Tochon to implement a generic and optimized Binary Partition Tree, a hierarchical representation for image processing in C++
  • Evaluated BPT noise resistance and noise influence on the structure construction
ATOS

June 2016 - August 2016

Paris, France

Web Application Developer

June 2016 - August 2016

Responsibilities:
  • Worked for their client GRDF (Gas Networks of France)
  • Created Data Visualization applications for their decision-making department
  • Provided documentations on the developed applications and the source code
  • Launched developed applications to Production
6

Education

EPITA
2015-2019
M.Sc. in Computer Science & Engineering
Taken Courses:
  • Unix Tools and Scripting
  • Data Structures & Algorithms
  • Functional Programming
  • Probabilities & Statistics
  • Big Data & Data Processing
  • Features Extraction
  • Convex Optimization
  • Computer Vision
  • Machine Learning
  • Deep Learning
  • Cloud Computing
Lycée Marcelin Berthelot
2014-2015
CPGE MPSI : Preparatory Class for entrance to Grandes Ecole in Mathematics, Physics, and Engineer Science
Lycée Edgar-Poe
2011-2014
Higher Secondary School Certificate in Science
Institution Sainte Marie
2007-2011
Secondary School Certificate

Projects

Vision Vendor
Vision Vendor
Owner Jun 2024 - Aug 2024

A mobile app enhancing online reselling experience. Submitted to Gemini API Developer Competition 2024.

hobby mobile flutter dart GCP Gemini AI
Star
Autonomous Racing Car
Autonomous Racing Car
Owner Apr 2018 - Feb 2019

An Autonomous RC Car for racing with AI model running on Raspberry Pi 3, competing in IronCar competition.

academic python raspberry pi deep learning
Details

Achievements

Graduated from EPITA