Vinayak Shanawad
About Vinayak Shanawad
Vinayak Shanawad is a Senior Machine Learning Engineer currently working at Accrete AI and has been a Kaggle Expert since 2021. He has a background in data science and engineering, with experience at several companies including Mphasis and Tata Consultancy Services.
Work at Accrete AI
Vinayak Shanawad has been employed at Accrete AI as a Senior Machine Learning Engineer since 2021. In this role, he focuses on developing and deploying machine learning models. His work contributes to enhancing the capabilities of AI-driven solutions within the organization. He operates out of Bengaluru, Karnataka, India, where he applies his expertise in machine learning to address complex challenges.
Experience at Kaggle
Since 2021, Vinayak Shanawad has served as a Kaggle Expert (Notebooks) at Kaggle. In this position, he engages with the community by creating and sharing educational content related to data science and machine learning. His contributions help users enhance their skills and understanding of various machine learning techniques.
Education and Expertise
Vinayak Shanawad completed a Post Graduate Program in Artificial Intelligence and Machine Learning at The University of Texas at Austin from 2020 to 2021. He also holds a Bachelor of Engineering in Instrumentation Technology from B V B College of Engineering & Technology, HUBLI, which he obtained between 2008 and 2012. His educational background provides a strong foundation for his work in machine learning and data science.
Previous Work Experience
Vinayak Shanawad has a diverse work history in data science and software development. He worked at Mphasis as a Data Scientist for two months in 2021 and previously spent a year at Mphasis as a Data Scientist at Refinitiv. His earlier roles include positions at Tata Consultancy Services, where he served as an IBM Integration Developer and BPM Developer for Standard Bank, and as an IBM Middleware Developer for Nedbank. His experience spans various industries and technologies.
Technical Contributions and Achievements
Vinayak Shanawad has made significant technical contributions throughout his career. He reduced operational costs by deploying models efficiently and enhanced GPU resource utilization significantly. He designed and developed a GITLab CICD pipeline for model deployment and proposed cost-saving batch designs for text document enrichment. His work includes deploying machine learning models on Kubernetes and improving inference latency, showcasing his technical skills in machine learning and infrastructure.