Aditya Varun Chadha
About Aditya Varun Chadha
Aditya Varun Chadha is a Staff Software Engineer at TomTom with extensive experience in information retrieval systems and applications.
Current Position at TomTom
Aditya Varun Chadha is currently employed at TomTom as a Staff Software Engineer in Berlin, Germany. He began his tenure with TomTom in 2022. In this role, he leverages his expertise in building and scaling information retrieval systems and applications, as well as his extensive experience with search relevance and distributed systems.
Previous Experience at HERE Technologies
From 2018 to 2022, Aditya Varun Chadha worked at HERE Technologies as a Principal Software Engineer in Berlin. During his four-year tenure, he contributed to the development of advanced online search services and played a pivotal role in enhancing distributed systems. His work in this period underscored his specialization in natural language processing and learning to rank.
Tenure at Zalando SE
Aditya Varun Chadha was employed at Zalando SE from 2016 to 2018 in the Berlin Area, Germany. As part of the Search & Personalization Engineering team, he worked for two years on projects aimed at optimizing search functionalities and personalization algorithms, utilizing his skills in Lucene and elasticsearch/OpenSearch.
Educational Background
Aditya Varun Chadha holds an M.S. in Computer Science from the Indian Institute of Technology, Madras, which he completed between 2004 and 2006. Prior to that, he earned a B.S. in Computer Science from Morehouse College, graduating in 2003. His foundational education was at Modern School, Barakhamba Road, where he completed his AISSCE from 1985 to 1999.
Expertise in Information Retrieval Systems
Aditya Varun Chadha has a notable expertise in building and scaling information retrieval systems and applications. His professional focus includes online search relevance, distributed systems, natural language processing, and learning to rank. He has practical experience with tools like Lucene and elasticsearch/OpenSearch, and he concentrates on machine learning for information retrieval (MLIR).