Hugo Rosenkranz-Costa


Personal details

Paris, France
hugo.rosenkranz@gmail.com
hugorosenkranz.com
Driving license


Skills

Programming
  • Very familiar with

    • Python, Rust
    C, C++, Bash

  • Good knowledge of

    • Javascript, SQL
    Java, Scala, Spark

Additional skills
  • Git, Docker, CI/CD
  • Applied mathematics
  • Advanced statistics
Languages
  • English: fluent

    • 2020 - TOEIC: Score 985
    2019 - IELTS: Score 7.5
    One semester at Oxford Brookes University

  • French: native language

Hobbies

  • Indoor climbing
  • Litterature
  • AI news
  • Video games

My profile

Top-of-the-class graduate with a Master's degree in computer science and machine learning. Software engineer at Cosmian, I develop and maintain Rust and Python libraries dedicated to enhancing data security during storage, transfer, and processing.

Work experience

Nov 2022 - Mar 2024 - Software engineer
Full-time position at Cosmian Next-generation Encryption
  • Adapt machine learning apps to run on encrypted hardware processing confidential data.
  • Meet with prospects, customers, and partners to demo our products.
  • Developed a Rust data anonymization library and its corresponding Python interface.
    • Rust Python Flask FastAPI CI/CD TDD
Fev 2022 - Aug 2022 - Software engineer
Internship at Bentley Systems Advanced Infrastructure
  • Train a deep learning model to identify and segment individual trees in LiDAR point clouds.
  • Integration and refinement of the solution in the core library for the software ContextCapture.
  • Train and benchmark models to detect and locate traffic signs on photos and panoramas.
    • C++ Object Detection 3D Segmentation Deep Learning OpenCV
Sept 2020 - Jan 2021 - Machine learning engineer
Internship at Factonics AI Business Services
  • Improved model accuracy for multi-class text classification by 10% using data augmentation.
  • Development of a Python backend to deploy and query machine learning algorithms.
    • Python NLP Docker AirFlow AWS

Education

2017 - 2022 - EPITA: School of Engineering and Computer Science GPA: 3.9/4.0

Master's degree in advanced computer science specializing in data science and deep learning.

2020 - 2021 - Research student: EPITA Systems & Security Laboratory

Benchmark models to identify the malware family based on extracted features from executables.

Achievements

2023 - Cosmian: Serving LLMs confidentially

Seeing the confidentiality problems regarding LLM APIs, I proposed and realised a new project: To run inferences with open-source LLMs on encrypted hardware while maintaining acceptable performance and latency. This project was later presented at a HuggingFace event.
Python C++ Model quantization

May 2021 - Jan 2022 - End-of-study project with the company GolemAI

Fine-tuning transformer based language models to identify the most useful words in differentiating document labels. More details about the project can be found here.
Deep Learning Explainability NLP Metric learning