Anton
About Anton
Anton is a Machine Learning Developer with 20 years of experience in software development and research, specializing in machine learning infrastructure design and medical applications. He has contributed to various projects, including DDOS attack mitigation and FDA grade medical biofeedback, and has published research in notable journals.
Work at eQualitie
Anton has contributed to eQualitie as a Machine Learning Developer. His role involves designing and implementing machine learning infrastructure, focusing on feature generation, parameter optimization, models storage, and ETL pipelines. This work supports various projects aimed at enhancing the organization's capabilities in data processing and analysis.
Education and Expertise
Anton possesses extensive expertise in software development and machine learning, accumulated over 20 years in the industry. His educational background supports his proficiency in developing complex systems, particularly in areas such as medical ultrasound, signal classification, and biofeedback technologies. His knowledge is further demonstrated through his published research.
Background
Anton began his career in the software industry, focusing on medical ultrasound and signal classification. He has experience in hardware monitoring and developing customer relationship management systems for insurance companies. In 2007, he immigrated to Canada, where he continued to advance his career in software engineering and machine learning.
Achievements
Anton has a notable record of achievements in the field of machine learning and software development. He has worked on significant projects such as the Deflect project, which involved DDOS attack fingerprinting and mitigation. Additionally, he has contributed to FDA grade medical biofeedback systems and has published research papers in reputable journals, including the Computational Intelligence Journal.
Professional Experience
Anton has held various positions throughout his career, including a Senior Machine Learning Engineer role at Rubikloud in Toronto. His responsibilities in this position included developing machine learning solutions that address complex business challenges. His diverse experience spans multiple sectors, showcasing his adaptability and technical skills.