Florent Chehab

Taking back my hat as the Data Team Lead @ Qomon. Coordinating new features, fixing bugs & also helping on the strategic decisions.

– Swiss Army knife

Development of the new sales and customer success back-office platform for Kenko, streamlining processes.

– Building a more sustainable future – Hands-on CTO-like position. – Developed a product that streamlines the processing of energy renovation funding applications. My responsibilities include: – Driving technical stack-related choices – Implementing Backend / Frontend / Data-related features – Actively working on product specs, recruitment, and outsourcing Projects I have worked on: – Developed a PDF viewer on steroids (augmented by AI / MultiModal LLMs) dedicated to administrative compliance checks. Tech stack: Typescript / React / Firebase / CloudFunctions / GCP – Led technical decisions on the rewrite of our NoCode main product and implemented most features. Tech stack: Typescript / NextJS / CloudRun / PostgreSQL / Prisma / TRPC – Developed automated data scraping tools to support sales efforts. Tech stack: Python / Cloud Functions / GCP Workflows / PostgreSQL

– Workshop Co-Leader for a one-week full-time course on Applied Data Science. – 2nd edition: 27 students & 3 TAs and an overwhelming success! – We covered a broad set of topics, around Software Engineering (git, ssh, TDD, data structures, complexity, dependency management, good dev practices), Data Engineering (PostgreSQL, PostgreSQL configuration tuning, CPU-Bound vs IO-Bound, Streaming processing / Map-Reduce & Spark), Geo Data Engineering (Map Projections, PostGIS / Shapely). Everything applied to a Data Science project.

– Workshop Leader for a one-week full-time course on Applied Data Science. – 32 students & 3 TAs. – An overwhelming success! – We covered a broad set of topics, around Software Engineering (git, ssh, TDD, data structures, complexity, dependency management, good dev practices), Data Engineering (Airflow / Dagster / ETL, PostgreSQL, PostgreSQL configuration tuning, CPU-Bound vs IO-Bound, Streaming processing / Map-Reduce & Spark), Geo Data Engineering (Map Projections, PostGIS / Shapely). Everything applied to a Data Science project.

– Teaching Assistant for the second part of NF26 course on "High volume storage and applications." – Prepared & lead practical sessions that are as much as possible challenging, interesting and professionalising (python, Key/Value storage, sharding, Cassandra, streaming, maps reduce & Spark) – Handled the servers setup and maintenance – Did 24/7 support to help the students as much as possible – Took part in practical sessions and project grading / feedback – Sat at the course jury

– Industrialized machine learning models for the French and German Real Estate markets – from data cleaning to model training and exposition through REST APIs – to provide the best price indices, price maps and Automated Valuation Models in the industry. – Improved some pipeline execution time by 40 folds by taking advantage of parallelization, – Improved model delivery observability and reliability by switching to Airflow for pipelines management, – Proactively participated in the architecture choices and implementation around our move to Docker and Kubernetes, – Provided technical support and guidance around Git, Python, Kubernetes, PostgreSQL, etc. to other team members, – Dramatically improved developers experience by switching to Helm / Kubernetes based development for complex projects, – Successfully contributed to production incident management, – Proactively participated in building up the team (took part in interviews, improved processes and documentation, etc.)

– During my last study year (and still today), I devoted a good chunk of my free time to the creation of this OSS project. – REX-DRI is a feedback platform / decision support platform focusing on the outgoing exchange experiences at my university. It is currently in production ! – Analysed the needs and designed the functional specification, – Coordinated with UTC's international relations and IT services, – Designed the architecture and contributed to the development, – Trained and mentored 3 students / contributors during spring 2019. – Trained and mentored 4 students / contributors during spring 2020.

– R&D intern in an agile team working on Perf Advisor. It's a platform developed from scratch during my end of study project that simplifies and automates monitoring and diagnosis of the performances of information systems and applications during load testing.

– Group leader alongside two of the high school's teachers (I didn't take part in the preparations, I came to the rescue of the group when one of the organizers was injured). – We supervised a group of 17 high school students who went on an adventure just like me in 2014! The three weeks went by at a fast pace with tutoring and the renovation of Boyar school. – An extraordinary adventure that went on like a charm!

– R&D on the robot 'Bakus' (2 metric tons, 4-wheel drive & steering systems): – Integrated and simulated TOF cameras ROS (https://www.ros.org/) and Unity, – Developed and updated algorithms related to ground and wine row detection, as well as Bakus guidance system.