Dawid Stachowiak
About Dawid Stachowiak
Dawid Stachowiak is a Machine Learning Engineer at deepsense.ai, specializing in machine learning applications for computer vision. He holds a Master's degree in Artificial Intelligence from Poznan University of Technology and has experience as a Data Scientist and Software-Defined Networking intern.
Work at Deepsense.ai
Dawid Stachowiak currently serves as a Machine Learning Engineer at deepsense.ai, a position he has held since 2023. His role involves applying machine learning techniques to various projects, particularly in the field of computer vision. Prior to his current position, he worked at deepsense.ai as a Data Scientist from 2021 to 2023, where he contributed to multiple data-driven initiatives. His experience at the company has provided him with a strong foundation in machine learning applications.
Education and Expertise
Dawid Stachowiak holds a Master's degree in Artificial Intelligence from Poznan University of Technology, which he pursued from 2024 to 2025. He also earned a Bachelor's degree in Applied Computer Science with a focus on Artificial Intelligence and Data Science from Uniwersytet Technologiczno-Przyrodniczy im. Jana i Jędrzeja Śniadeckich w Bydgoszczy, completing his studies from 2018 to 2022. His educational background equips him with the knowledge and skills necessary for tackling complex problems in machine learning and deep learning.
Background
Before joining deepsense.ai, Dawid Stachowiak gained experience as an Internship Trainee in Software-Defined Networking at Nokia in 2021. This internship lasted for one month and took place in Bydgoszcz, Woj. Kujawsko-Pomorskie, Poland. His early career experiences have contributed to his understanding of software development and networking, complementing his expertise in machine learning.
Achievements
Dawid Stachowiak has demonstrated his knowledge and interest in artificial intelligence through various initiatives. He authored a blog post on Llama 2, discussing its significance in the AI landscape and its technological impact. This contribution reflects his engagement with current trends in AI and his commitment to sharing knowledge within the field.