Vishal Thakur
About Vishal Thakur
Vishal Thakur is the Head of Engineering at Anakin, where he leads a team focused on real-time product assortments and pricing data for e-commerce. He has previously held engineering roles at Flipkart and Microsoft, contributing to his expertise in AI and machine learning for e-commerce optimization.
Current Role at Anakin
Vishal Thakur serves as the Head of Engineering at Anakin, a company that is part of Y Combinator's Summer 2021 batch. He has held this position since 2021 and is based in Singapore. In this role, he leads a team that specializes in providing global coverage on real-time product assortments and pricing data from e-commerce websites, managing over 100 million SKUs. His work focuses on enabling marketplaces and e-commerce businesses to enhance their competitive edge through pricing optimization and product catalog expansion.
Previous Experience at Flipkart
Vishal Thakur has extensive experience at Flipkart, where he worked in various engineering roles from 2014 to 2021. He started as a Full Stack Engineer from 2014 to 2016, then progressed to Lead Engineer from 2016 to 2019, and finally served as Engineering Manager from 2019 to 2021. During his tenure, he contributed to multiple projects that enhanced Flipkart's e-commerce platform, focusing on engineering solutions that improved user experience and operational efficiency.
Experience at Microsoft
Vishal Thakur worked at Microsoft from 2011 to 2014, where he held positions as Software Development Engineer (SDE) and Software Development Engineer II (SDE II). His time at Microsoft spanned two years as an SDE from 2011 to 2013, followed by an additional year as an SDE II from 2013 to 2014. In these roles, he was involved in software development projects that contributed to Microsoft's product offerings.
Education and Expertise
Vishal Thakur completed his Bachelor of Engineering (BE) in Computer Science at the Indian Institute of Technology, Bombay, from 2007 to 2011. His education provided a strong foundation in computer science principles, which he has applied throughout his career in various engineering roles. His expertise includes utilizing AI and machine learning techniques to track and categorize large-scale web data for e-commerce businesses, enhancing their operational capabilities.