I'm a data engineer specialized in designing and implementing scalable data pipelines, architecting databases and creating applications to process and manipulate data. I'm passionate about building robust and efficient data systems that help organizations make better decisions and unlock insights from their data.
-Processing, structuring, and enhancing the quality of data collected from applications (IOS/Android) developed in Unity (+100k users)
-Development of scripts for preprocessing, exploratory analysis, and monitoring of collected data
-Implementation of data visualization tools for validation and interpretation purposes (dashboards, lightweight web interfaces, etc.)
-Deployment and administration of a VPS server for secure data storage
-Monitoring of security and confidentiality protocols (data anonymization, access management, backups, etc.)
-Ongoing research on best practices in cybersecurity for handling sensitive data.
-Fitbit integration for an app with approximately 1000-3000 users
-Development and training of machine learning models for behavioral and/or physiological data analysis
-Integration of generative AI solutions (LLMs) into the team's workflows (automated analysis, summarization, internal assistance, etc.)
-Prototyping of AI-driven applications tailored to our clinical research projects
-Adapt and implement Transformer-based algorithms for the automatic classification of very large datasets from emergency call reports to SAMU Centre 15
-Building a Language Model within CHU's Information System
-Contribute to the deployment of a language model within the university hospital’s information system by implementing state-of-the-art techniques (GPT, BERT, Mistral, Gemini).
-Implementation of an application integrating data processing algorithms and embedding classification
-Backend & Frontend development (FastAPI, Vue.js)
-Application deployment and containerization (Docker)
-Data pipeline management, message queues, and task scheduling
-Use of Large Language Models (LLMs) for computing text embeddings (GPT, BERT, Mistral, etc.)
-Development of classification algorithms (Machine Learning)
-Design and implementation of a relational database architecture using PostgreSQL
-Manual acquisition of alcohol spectra using spectrophotometry (visible and UV light excitation)
-Design and deployment of a cloud architecture on Amazon Web Services (AWS)
-Development of signal processing algorithms for classification
-Data preprocessing, feature extraction & data cleaning
-Development of a web application to visualize results, support demonstration phases, and testing
A full-featured app to monitor fitbit data from Fitbit watches. It is coupled with mobile app to collect data from users.
project related to data generation with Variational AutoEncoder
A dashboard computing fishing forecast based on weather data, moon phases and other factors.
A small palette generator using embeddings and semantic search around colors.
Reusable components PySide6 python framework, calendar, spinner, colors.
A small application that uses the jow API for recipes and ingredients
Special page related to all my creation made with Unreal Engine 5.3
DEmo of a small pinball game made with a 2D physics engine for Javascript
Feel free to reach out if you're looking for a developer, have a question, or just want to connect.
clement.massit@gmail.com
+33 6 70 65 35 60
Bordeaux, France
