Experience

Evolution Devices

• United States
• Medical Equipment Manufacturing
• 1 - 100 Employee

• Machine Learning Engineer

  • Apr 2021 - Present

  Signal Processing & Machine Learning:- In charge of developing our proprietary statistical models to estimate clinically valuable gait metrics using noisy real-time signals collected from our wearable device, the EvoWalk.Computer Vision & MLOps:- Co-leading the development of an end to end computer vision pipeline for 3D human pose estimation using OpenPose and Yolov5 for 2D pose and Learnable triangulation for 3D pose.Developed an end-to-end pipeline for markerless 3D human pose estimation based on state-of-the-art computer vision literature.

• Junior Machine Learning Engineer

  • Sep 2020 - Apr 2021

  - Signal Processing- Time Series Analysis- Statistical modeling- Machine Learning- Deep Learning- Wearable Device

• Machine Learning Researcher intern

  • Sep 2019 - Sep 2020

  • Evolution devices is building the first device that uses AI to improve the gait of people with walking disabilities.• Applied machine learning techniques (dimensionality reduction, classification, clustering, ensemble methods) and deep learning techniques ( CNN, LSTM, generative models) on kinematics data to analyze and create real-time models for muscle stimulation.• Worked with large databases that gather several hundreds of experiments (more than 300 trials of 5-minutes length).• Managed to create a pipeline that takes kinematic data and output a gait's analysis.



Neurotech@Berkeley

• United States
• Biotechnology Research
• 1 - 100 Employee

• Machine Learning engineer

  • Sep 2019 - Mar 2020

  • Analyzed and built models from EEG data as a member of the software team. • Analyzed and built models from EEG data as a member of the software team.



CNRS

• France
• Research Services
• 700 & Above Employee

• Research Assistant

  • Jun 2018 - Aug 2018

  Participated in the development of a brain-computer interface experiment in a Neurosciences Lab : • Connected my engineering skills with neurobiology to solve multidisciplinary problems • Helped in the development of the needed algorithms in Python • Used my physics and computer science skills to design the reward system • Designed 3D setup pieces on SolidWorks and printed them Participated in the development of a brain-computer interface experiment in a Neurosciences Lab : • Connected my engineering skills with neurobiology to solve multidisciplinary problems • Helped in the development of the needed algorithms in Python • Used my physics and computer science skills to design the reward system • Designed 3D setup pieces on SolidWorks and printed them