Published approximately 40 papers in top computer systems conferences such as USENIX NSDI, EuroSys, USENIX ATC, SenSys, SIGMOD, VLDB, PLDI, and top artificial intelligence conferences like AAAI, ICML, NeurIPS, ACL, and ECCV. Co-invented over 20 US patents. Recently, two papers were accepted by SIGMOD-2025, one by VLDB-2025, and another by NAACL-HLT-2024.
Research Experience
Has been a research intern at Microsoft Research – Redmond, AT&T Research – New Jersey, and Lawrence Livermore National Labs - Livermore. Before joining Adobe Research, he worked in Software Engineering roles at Intel, Santa Clara, and Atrenta (now Synopsys) on new product development in Electronic Design Automation.
Education
Ph.D. in Electrical and Computer Engineering from Purdue University, MS in Computer Engineering from the University of Florida, and BE in Electronics and Telecommunication Engineering from Jadavpur University, Kolkata.
Background
Currently a Senior Research Scientist at Adobe Research, focusing on the intersection of computer systems and machine learning, particularly in efficiency and scalability. Previously, his work primarily addressed improving the performance and reliability of cloud and distributed systems and enhancing the scalability of Big-Data processing and Recommender Systems.
Miscellany
Feels happy when able to shape and inspire career decisions of mentees for years to come, and is always looking for passionate PhD students interested in 'Systems for ML' and 'Optimizing Big-Data processing using ML' for internships at Adobe Research, Bangalore.