Yoni Gozlan

AI Researcher

New York, New York, United States4 yrs 3 mos experience
Most Likely To Switch

Key Highlights

  • Expert in machine learning and computer vision.
  • Led a team to success in an international competition.
  • Developed innovative tools for data analysis and robotics.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in Computer Vision and Robotics.

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Skills

Core Skills

Machine LearningComputer VisionData ScienceFullstack DevelopmentRoboticsBlockchain

Other Skills

PytorchCNNVisual TransformersU-NetStacked Hourglass NetworksPythonTensorflowKerasOpenCVPandasAngularNodeJSBootstrapSocket.ioREST API

Experience

4 yrs 3 mos
Total Experience
1 yr 5 mos
Average Tenure
1 yr 9 mos
Current Experience

Hugging face

ML Research Engineer

Jul 2024Present · 1 yr 9 mos · New York, United States

  • Working in the Open Source Vision team

Wu tsai human performance alliance

Research Assistant

Dec 2022Jul 2024 · 1 yr 7 mos · Stanford, California, United States

  • Research in machine learning for 3D pose estimation and human motion as part of the OpenCap project of Stanford University.

Polygon

Machine Learning Engineer

Mar 2022Aug 2022 · 5 mos · Santa Monica, Californie, États-Unis

  • Polygon is a new kind of psychology practice specializing in online testing and support for dyslexia, ADHD, and other learning differences. We utilize technology to provide a better experience for both clients and our team of in-house licensed psychologists.
  • Initiated the data aggregation pipeline of the company.
  • Produced a literature review on face detection, facial landmarks and head pose prediction using machine learning techniques (CNN, Visual Transformers, U-Net, Stacked Hourglass Networks).
  • Implemented state-of-the-art models in face detection and landmarks prediction with Pytorch.
  • Conducted exploratory work on 2D-to-3D point clouds prediction for facial landmarks.
  • Implemented an active learning pipeline to improve facial landmarks prediction models with Pytorch.
PytorchCNNVisual TransformersU-NetStacked Hourglass NetworksMachine Learning+1

Paris digital lab

Data Scientist

Aug 2021Mar 2022 · 7 mos

  • Digital Tech Year program of CentraleSupélec. This program consists of 6 months prototyping 3 Minimum Viable Products using agile methodology for different companies seeking help in Data Science and software engineering projects.

Centralesupélec

2 roles

Personal initiatives

Promoted

May 2021Aug 2021 · 3 mos

  • Participation to the IEEE ICAS Challenge for anomaly detection in heterogeneous multi-robot systems.
  • Led the university team to the 3rd place of an international Data Science and Machine Learning competition organized by IEEE. The objective of the challenge was to detect never-before seen anomalies in the behavior of a heterogeneous multi-robot system using data from different types of sensors.
  • 🔧 Python, Tensorflow, Keras, OpenCV, Pandas
  • 📏 LSTM + ConvLSTM Autoencoders, Frame Prediction Models, Data Fusion
  • Scrapping Twitter website :
  • Personal initiative to level-up my skills in Fullstack development for the Digital Tech Year program admission. TwitterScrap is a simple tool to retrieve trending thread and tweets off of Twitter and display the number of tweets per thread on a map.
  • 🔧 Angular, NodeJS, Bootstap, Socket.io, REST API
PythonTensorflowKerasOpenCVPandasAngular+6

Student engineering projects

Sep 2019Jul 2021 · 1 yr 10 mos

  • Exploration and mapping of a building floor by an autonomous swarm of robots :
  • One year project in which the goal was to autonomously explore and map the floor of a building using a heterogeneous swarm of small ground robots. My role along with my teammate was to develop control algorithms to efficiently explore the surface of a floor, and create a graphical simulation of the functionning of the entire swarm.
  • 🔧 Python, Pygame, MPI4py
  • 📏Graph Search, SLAM, Reinforcement learning
  • Machine learning and computer vision projects :
  • Face detection and categorization algorithm using convolutional neural networks.
  • Android application to identify what types of clouds are present on an image, and infer the probability of rain in the near future.
  • 🔧 Python, Tensorflow, Keras, OpenCV, Kivy
  • 📏 CNN, Transfer Learning, Fine-Tuning
  • Blockchain-based healthcare supply chain monitoring system :
  • One-week challenge creating a blockchain web application from scratch. The objective was to use a blockchain to secure a healthcare supply chain by ensuring the traceability and authenticity of drugs.
  • I was in charge of linking the Flask backend to the Angular frontend, as well as the frontend itself and some aspects of the backend.
  • 🔧 Python, Angular, Flask
  • 📏 Blockchain theory, elliptical curve cryptography.
  • Project in partnership with ONERA:
  • One month project in partnership with ONERA on the optimization of the shape of a wing to reduce the drag. Simulation of the airflow around different types of wing and entire spacecrafts.
  • 🔧 Python, FEniCS Project
  • 📏 Parallel and distributed computing, partial differential equations, finite element method
PythonPygameMPI4pyTensorflowKerasOpenCV+4

Education

Stanford University

Master of Science - MS

Sep 2022Jan 2024

CentraleSupélec

Master of Engineering - MEng — General Studies

Jan 2019Jan 2022

Lycée Pierre De Fermat

Preparation courses

Jan 2017Jan 2019

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