Vedha V.
About Vedha V.
Vedha V. is a Technical Lead at TRM Labs, with extensive experience in software architecture and engineering across several prominent tech companies, including eBay and Pinterest. He possesses a strong background in functional programming, distributed systems, and big data technologies.
Work at TRM Labs
Currently, Vedha V. serves as a Technical Lead at TRM Labs, a position held since 2022. In this role, Vedha focuses on leading technical initiatives and contributing to the development of solutions within the organization. TRM Labs specializes in blockchain intelligence and risk management, and Vedha's expertise in distributed systems and data processing aligns with the company's objectives.
Previous Experience at eBay
Vedha V. has extensive experience at eBay, where he held multiple roles over several years. He worked as an Architect from 2013 to 2015, then progressed to Senior Architect from 2015 to 2017, and later served as Principal Architect for one year in 2017. Throughout his tenure at eBay, Vedha contributed to various projects that enhanced the platform's architecture and performance.
Career at Pinterest
Vedha V. worked at Pinterest as a Tech Lead and Architect from 2018 to 2021. During this period, he was involved in designing and implementing systems that supported Pinterest's growth and user engagement. His role required a deep understanding of scalable architectures, which he applied to improve the platform's capabilities.
Educational Background
Vedha V. has a solid educational foundation in computer science. He studied at Stanford University, where he earned a Graduate Certificate in Computer Science, focusing on Mining Massive Data Sets. Additionally, he holds a Master's degree in Computer Science from Auburn University and a Bachelor of Engineering in Computer Science from the University of Madras. This academic background supports his technical expertise in various programming and system design areas.
Technical Expertise
Vedha V. possesses specialized skills in functional programming, REST/Web services, and designing high-scale distributed systems. He has experience with technologies such as Spark, Hadoop, and Map/Reduce, which are essential for building robust data pipelines and handling batch and stream processing. His knowledge extends to multi-threading and concurrency, particularly in large-scale web applications, and he has a deep understanding of information retrieval and search technology.