About me
I am a co-founder and senior ML engineer at NeuralSpike. I specialize in solving various computer vision problems such as recognition, detection, and segmentation. I played a key role in building a complete machine learning pipeline including data acquisition, model training, model maintenance, and model deployment. I have experience in model deployement on embedded devices, also for real-time applications.
I was a Post-doc at INRIA ( STARS). My research focused on: action recognition, action detection, codebook representation, multimodal representation (RGB + Depth), spatio-temporal attention, deep learning.
My PhD thesis was supervised by Francois Bremond, the thesis was a part of Toyota Partner Robot project. In this project, we focused on assessing people’s cognitive and behavioral status, based on daily-living activities monitoring.
During my PhD I was a research intern at Disney Research Pittsburgh, I worked on codebook representations for People Re-Identification.
Interests
- Computer Vision
- Action Recognition/Detection
- Person Re-Identification
- Machine Learning
- Deep Learning
Education
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PhD in Computing Science (Computer Vision), 2014-2017
INRIA, University of Nice Sophia-Antipolis
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MSc in Computing Scienc, 2007-2009
Poznan University of Technology
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BSc in Computing Science, 2004-2008
Poznan University of Technology
Details
From Dec 2023 I am a co-founder and Senior ML Engineer at NeuralSpikeAI:
- I am responsible for building relations with clients,
- I am managing ML engineers team,
- I am involved in training Deep Learning models with focus on edge devices,
- I supervise the whole model preparation process from data acquisition to model deployement and monitoring.
From Aug 2018 until Nov 2023 I was a Senior ML Engineer at Tooploox:
- I was working on deep neural networks models for object recognition, detection on images and videos,
- I was advising junior scientists,
- I was working on a research project on incremental and multimodal learning (check our new publication),
- I was working on code transfer to our industrial partners.
From Aug 2020 until Nov 2022 I was a Senior Machine Learning Engineer at Mmhmm:
- I was a lead Machine Learning engineer,
- I worked on deep neural networks for semantic segmentation,
- I developed models that are ready for real-time applications.
From Jan 2019 until Jun 2020 I was a Machine Learning Scpecialist at June:
- I was a lead Machine Learning engineer,
- I was responsible for the design of the whole ML pipeline including data acquisition, model training, model maintenance, and model deployment to an embedded device,
- My team managed to significantly improve model accuracy,
- I was also responsible for proposing new product features and discussing their implementation with the business.
From Dec 2017 until Jul 2018 I was a Post-doc at INRIA ( STARS).
- I worked on deep neural networks with spatio-temporal attention for action recognition,
- I worked on real-time action detection,
- I worked on technology transfer to industrial partners
- I published 6 scientific papers.
From Feb 2014 until Nov 2017 I was PhD Student at INRIA ( STARS). During my PhD I:
- I proposed, implemented and validated several methods for action recognition and action detection,
- I published 9 scientific papers,
- The code of the proposed methods was successfully transferred to Toyota.
From Jan 2016 until Apr 2016 I was a Research Intern at Disney Research Pittsburgh. I was working on codebook representation for People Re-Identification. During my internship:
- I published 1 scientific paper,
- 1 patent request was filed.
From Apr 2013 until Sep 2013 I was Research Intern at INRIA ( STARS). I was working on multimodal RGB-D representation for action recognition. During my internship I:
- proposed, implemented and validated new RGB-D descriptor for action recognition,
- I published 1 scientific paper.
From Apr 2010 until Apr 2012 I was Research Engineer at Poznan University of Technology ( IDSS). I was working on automatic bird species detection, using machine learning. During the project I:
- implemented and validated bird species detection system for mobile devices (ARM).
- I published 1 book chapter
