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Hi, my name is Jeanine

Jeanine Harb

Chief Technology Officer at Beink Dream

I am a passionate Data/Machine Learning Engineer with significant experience in innovative R&D. My tech stack includes: Apache Spark, Python, SQL, Docker, Git, Snowflake, AWS, Scala. I am a firm believer in best practices of software engineering applied to ML and data products! #MLOps #DataOps

Data Engineering
Machine Learning
Team Work

Experiences

1
Chief Technology Officer
Beink Dream

Apr 2024 - Present, Paris, France

Turn your ideas into the greatest innovations with the first-ever collaborative AI-powered innovation solution.

Responsibilities:
  • Lead Beink Dream’s technological strategy, vision and continuous innovation through R&D.
  • Oversee the development of the company’s product, including Generative AI-powered capabilities and SaaS offering.
  • Lead, manage and mentor the Tech team; liase with Sales & Business teams to ensure seamless collaboration.
  • Define and implement Beink Dream’s data strategy and ensure robust cybersecurity measures.
Senior Data Engineer
Continuity

Feb 2023 - Mar 2023, Paris, France

Continuity’s AI-powered solution leverages open data to help insurers improve underwriting for SMEs.

Responsibilities:
  • Extract, transform and load open data for the purposes of enriching a SaaS catered to insurance underwriters.
  • Design, implement and maintain data pipelines for more than 20 different data sources using Dagster.
  • Maintain serverless data lakehouse based on AWS databases and stores: S3, RDS, Aurora, OpenSearch, DynamoDB.
  • Lead initiative on data analytics and quality metrics using Amazon QuickSight.
  • Evangelize best practices of data management and onboard newcomers (tech and non-tech) thanks to inclusive Data 101 sessions.
2
3
Ubisoft

Feb 2020 - January 2023, Saint-Mandé, France

Ubisoft is a French video game publisher and distributor with development studios across the world.

Senior Data Engineer

May 2022 - January 2023

Data Engineer

Feb 2020 - Apr 2022

  • Worked on Ubisoft’s e-commerce fraud detection project – blocking transactional fraud using Machine Learning algorithms trained on user and transaction data.
  • Designed, built, and optimized data pipelines for training Machine Learning models and serving the inference platform in real-time (SQL, Spark, Python, AWS, Snowflake, Airflow).
  • Re-engineered data pipelines around the concept of Feature Store – automating feature computation, achieving consistency between training and serving data, building reliable and reusable feature pipelines.
  • Evangelized Software Engineering best practices in the context of Data Engineering – implementing DataOps principles such as packaging, monitoring, testing, creating environments, reusing components…
  • Co-organized internal tech events about Data and Machine Learning – Data Breakfast, Skill Sharing Sessions, Data Science Days.
Research Engineer - Data & Machine Learning
IRT SystemX

Oct 2017 - Jan 2020, Palaiseau, France

The Institute for Technological Research (IRT) SystemX positions itself as an accelerator for the digital transformation of industry, services and territories.

Responsibilities:
  • Worked on automating the observational capabilities of a train driver for SNCF’s Autonomous Freight Train project, in partnership with SNCF, Alstom, and Systra.
  • Designed and implemented Deep Learning algorithms based on state-of-the-art literature in order to detect the color of railway signalling in images and videos acquired by the train’s cameras.
  • Designed and implemented a Big Data pipeline to manage and process the data acquired for the project, from data acquisition and structuring, to querying and visualization.
  • Open-sourced the first large-scale traffic light dataset for autonomous trains, called FRSign.
  • Participated in internal work groups and trainings, as well as promoting the adoption of best practices in Big Data, Machine Learning, and DevOps internally.
  • Deployed and contributed to the open-source project BeaverDam for video annotation.
  • Presented demos in conferences and corporate events (TEDx Saclay ’18, DigiHall Days ’18, ADmoSens ’18).
  • Contributed to the external and internal corporate blogs with accessible technical blog posts.
4

Education
Université Paris-Saclay, Télécom Paris, Ecole Polytechnique
2016-2017
Master's Degree in Big Data & Machine Learning
Université Saint-Joseph, Ecole Supérieure d'Ingénieurs de Beyrouth
2011-2016
Diploma of Computer Engineering

Recent Posts

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Maryam Mirzakhani & Problem-Solving

I spent a good part of my week discovering the work of Maryam Mirzakhani thanks to an excellent documentary on ARTE. In 2014, this brilliant mathematician became the first Iranian to be honored with the Fields medal, and the first of only two women to date! 👩🏻‍🏫🥇 While I did take several advanced maths courses for my Computer Engineering diploma, I do not have the required level to understand the details of her work on hyperbolic geometry.

April 14, 2023 Read
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DynamoDB: Summary & Notes

Storage is cheap as can be, while compute is at a premium. DynamoDB is a fully-managed, NoSQL database provided by Amazon Web Services. 💡Key Properties of DynamoDB Key-value or wide-column data model Key-value store: retrieve one record at a time. Wide-column store: super-charged version of a hash table where the value for each record in your hash table is a B-tree (think of it as a phonebook: “Give me all entries between Dupond and Dupré”) Infinite scaling with no performance degradation Most operations in DynamoDB have response times in single-digit milliseconds.

February 26, 2023 Read
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Goodbye Ubisoft!

Three years ago, I joined Ubisoft as a Data Engineer to work in a field I knew nothing about: transactional fraud in the gaming industry! 🎮 Time flew by quickly, and a few weeks ago, I said goodbye to the team as I have chosen to discover yet another field unknown to me… but I shall tell you more about that in a separate post 😉 Feature Store @ Ubisoft What a thrill it was to be part of this amazing company!

January 27, 2023 Read