Position: Head of Data Science / CTO / CDO
Category: Data Science
English level: fluent
Years of experience: 5

Publications:
- "Efficient Vision-Based Stair Recognition for Wearable Robotics using SSL", paper at IROS 2023.
- "SSL for Efficient Perception of Human-Robot Walking Environments", abstract at ICRA 2023 CV for Wearable Robotics Workshop
- "SSL for Efficient Perception of Human-Robot Walking Environments" poster at ICAIR 2023

- Graduated Master's with honors, obtained three research publications.

- Gave more than 10 talks on the topic of AI/ML at different educational institutions.
DS Engineering Manager, ML researcher, Lecturer at the Department of Multimedia Sciences. 

Leading a 17-engineer department as a deputy head of the department, directly managing a small team of 3 engineers, promoting skill development and knowledge sharing. Mentoring junior ML engineers on various projects. 

Recent projects include the creation of 2D/3D pose estimation for baseball models, an internal GPT-4 based AI presale automation module, the devising of a GPT-3 summarization model for legal texts, and the improvement of a self-harm text detection model.

Research directions combine CV and RL within Biomechanical Engineering and Health & Supportive Tech domains. The academic focus revolves around adversarial robustness in deep learning.

Lecturing and mentorship:
• Lecturer in Master's courses "NLP Systems" and "Image Analysis & Computer Vision".
• Former Instructor in "AI in medicine" cross-university course with a top Canadian university.
• Former Assistant lecturer in Master's courses in ML, CV, and RL.
• Former DS mentor at 2 educational platforms.
- Helpful products or research initiatives based on Computer Vision or Reinforcement Learning, preferably in Healthtech or Assistive Technology domain.