Joanna Lis

Machine Learning Engineer @ VUMO

About

As a researcher, I put my focus on machine learning and computer vision. Currently, I am engaged in accelerating deep convolutional neural networks for LiDAR based perception on FPGA platforms. Usually I use Python, especially PyTorch, NumPy, Pandas and OpenCV libraries. I am looking for opportunities to start a professional career in domains related to machine learning and data science.

Country

Poland

City

Cracow

Industry

Information Technology & Services

Skill

C, C++, Python, Machine Learning, Neural Networks, Computer Vision, Jira, Scrum, Verilog, MATLAB, OpenCV, NumPy, PyTorch, Image Processing, Field-Programmable Gate Arrays (FPGA), GIT

Experience

Machine Learning Engineer

VUMO

2021-6 - Present · 5 yrs 4 mos

Krakowski, Małopolskie, Poland

Software Engineer

Aptiv

2020-12 - 2021-6 · 7 mos

Kraków, Woj. Małopolskie, Polska

Intern Software Engineer

Aptiv

2019-5 - 2020-12 · 1 yr 8 mos

Kraków, Woj. Małopolskie, Polska

Embedded Software Tester

JPEmbedded

2018-7 - 2018-11 · 5 mos

Kraków, Woj. Małopolskie, Polska

Education

AGH University of Krakow

Automatyka i Robotyka

2020 - 2022 · 2 yrs

Topic: Real-time environment perception based on data from LiDAR sensors implemented in embedded systems.

AGH University of Krakow

Automation and Robotics, Intelligent control systems, Computer vision

2019 - 2020 · 1 yr

Dissertation title: "Hardware acceleration of deep neural networks for object detection based on LiDAR data using reprogrammable devices" Courses taken in: • Machine learning • Deep learning • Self-driving cars • Parallel programming • Advanced computer vision algorithms • Cryptography