About

Shivjeet Bhosale is a highly skilled ML Research professional with over 5 years of experience in the field. Currently, he is working as a Software Engineer 2, Machine Learning at InMobi, where he is building high-performance data streaming pipelines. His technical expertise includes Python, Apache Kafka, Apache Spark, and Golang, and he has a special interest in distributed computing and computer vision. Shivjeet has a strong background in ML, software engineering, and research science. He has worked with several prominent companies, including Aera Technology and Capiot Software, where he has contributed to building scalable and fault-tolerant machine learning frameworks, optimized Spark data pipelines, and developed deep learning-based solutions for managing master data. He has also designed and built algorithms for modeling risks associated with insurance policies and recommending decisions for underwriters. Shivjeet's educational background includes a Bachelor of Technology degree in Computer Engineering from Vishwakarma Institute of Technology. He has a solid understanding of ML, software engineering, and research science, and his technical skills include ML, Software Engineer, Research Scientist, Mobile, Kafka, Spark, Computer Vision, Python, Golang, infra, Deep Learning, and Pandas. Shivjeet is passionate about solving algorithm challenges and regularly contributes to open-source projects on GitHub. He also maintains a personal blog where he shares his thoughts on various topics related to ML, software engineering, and research science. With his strong technical skills and experience, Shivjeet is a valuable asset to any organization looking to build high-performance data streaming pipelines and develop scalable machine learning frameworks.