Ajinkya Zadbuke

Senior Machine Learning Engineer @ Pryon

About Ajinkya Zadbuke

Ajinkya Zadbuke is a Senior Machine Learning Engineer at Pryon, where he has worked since 2023. He has a background in AI research and data science, with degrees in Computer Science and Information Technology.

Work at Pryon

Ajinkya Zadbuke currently serves as a Senior Machine Learning Engineer at Pryon, a position he has held since 2023. In this role, he contributes to the development and implementation of machine learning solutions. Prior to this, he worked as an AI Research Engineer at Pryon from 2019 to 2023, where he focused on advancing AI technologies and methodologies. His experience at Pryon spans over four years, during which he has been involved in various projects aimed at enhancing the company's AI capabilities.

Education and Expertise

Ajinkya Zadbuke holds a Master's degree in Computer Science from the University of Massachusetts Amherst, where he studied from 2017 to 2019. He also earned a Bachelor's degree in Information Technology from the University of Mumbai, completing his studies there from 2012 to 2016. His educational background provides a strong foundation in computer science and data analysis, which supports his work in machine learning and AI.

Internship Experience

Ajinkya Zadbuke has gained valuable experience through various internships. He worked as a Data Science Intern at Marketly in 2018 for three months, where he developed skills in data analysis and machine learning applications. Additionally, he interned at EdGE Networks Pvt. Ltd. from 2016 to 2017 for six months, focusing on data science projects. These internships contributed to his practical knowledge and expertise in the field.

Professional Background

Ajinkya Zadbuke has a diverse professional background in machine learning and data science. His career began with internships that laid the groundwork for his skills in data analysis. He progressed to a full-time role at Pryon, where he has taken on increasing responsibilities in machine learning engineering. His work experience reflects a commitment to advancing AI technologies and applying data science principles in real-world scenarios.

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