I am a software engineer with a strong focuson data science and have worked on different topics such as mobility and remote sensing. During my university years, I have spent a lot of time getting my hands on all kinds ofcomputer-related problems such as low level, cryptography, graph theory... Among those, I decided to get a specialization in data science. In the past, I’ve had the opportunity to work in France, Korea, and Germany, with very diverse people in multicultural teams. I consider it one of my biggest strengths.

If you are here to know a bit more about my background, you can check trog.me or see a little recap below:

• Research and develop scalable data pipeline
• Remote sensing of farming data
• Research and adjusments of the customer facing product

• Research and implementation of traffic speed and transitions at city level
• Deploy and maintain inference pipeline in a Kubernetes environment
• Participation in the 2019 Traffic4cast NeurIPS challenge using a 3DCNN

• State of the Art Q&A model implementation in PyTorch
• Productionize chit chat system using elastic search caching
• Deep neural net hyper-parameter tuning using NSML

• Implementation of a custom data visualization tool in Angular2
• Creation of tools for BI data processing
• Organization of a crypto party for the whole R&D department

• C++ code base modifications for Emscripten compilation to JS.
• Integration of the generated code to the customer facing front-end.

• Forest-segmentation: A series of tutorials on satellite data
• Koku: A toy crypto currency
• Spotlight-helm: A basic helm setup to deploy spotlight on K8S