Achint Thomas
About Achint Thomas
Achint Thomas is a Data Architect at Scribble Data, where he has worked since 2020. He has extensive experience in data science and research, having held positions at Embibe, Yahoo Labs, and IBM Watson Research Center.
Work at Scribble Data
Achint Thomas has been employed at Scribble Data as a Data Architect since 2020. In this role, he contributes to the development of a new generation feature store, which is a critical component of the MLOps infrastructure. His work focuses on enhancing data management and operational efficiency within the organization, leveraging his extensive background in data science and architecture.
Previous Experience in Data Science
Prior to joining Scribble Data, Achint Thomas held several positions in data science and research. He worked at Embibe as a Consulting Research Scientist for 11 months in 2019, where he addressed challenges related to content, user, and mentor intelligence. Before that, he served as a Principal Data Scientist at Embibe for four years, contributing to various data-driven projects.
Academic Background
Achint Thomas earned his Bachelor of Engineering (BE) in Computer Science from Visvesvaraya Technological University, studying from 2001 to 2005. He then pursued a Doctor of Philosophy (Ph.D.) in Computer Science at SUNY at Buffalo, completing his studies from 2005 to 2010. His academic background laid the foundation for his career in data science and research.
Research and Development Experience
Achint Thomas has a diverse background in research and development. He worked as a Research Assistant at the University at Buffalo from 2006 to 2010, where he engaged in various research projects. Additionally, he interned at IBM Watson Research Center in 2008, gaining practical experience in a leading research environment.
Contributions to AI and Machine Learning
During his tenure at Yahoo Labs from 2010 to 2014, Achint Thomas focused on the prevention, detection, and mitigation of internet-scale abuse through data mining and machine learning techniques. He also participated in discussions on AI sentience, exploring the distinctions between true AI sentience and models that merely mimic data.