Михаил Полещук

I am Mykhailo Poleshchuk, a dedicated ML/AI engineer and PhD student specializing in theoretical physics. My work is focused on building application to empower businesses with AI tools including computer vision, data science, text and image generation, and AI agents. My research focuses on neutrino astrophysics and astronomy, where I apply advanced machine learning techniques to analyze complex data. With a solid foundation in physics and mathematics, I have developed a keen understanding of statistical methods and their applications in real-world scenarios.

Throughout my academic journey and professional work, I have gained extensive experience in machine learning and data science, utilizing all sorts of machine learning, data science and statistical analysis tools like Numpy, Scipy, PyTorch as well as different pre-trained architectures like YOLO or GPT. My projects have ranged from web scraping and scientific data processing to statistical modeling, showcasing my ability to tackle diverse challenges. I thrive in collaborative environments, having worked closely with sales teams to demonstrate technical solutions and contribute to successful contract acquisitions.