Summary
Gandharv Kapoor is a Staff Machine Learning Engineer with 12 years of experience building large-scale distributed systems, real-time processing pipelines, and ML platform infrastructure across companies like Pinterest, Adobe, DocuSign, and VMware. He leads end-to-end ML foundation work—indexing, distributed training, high-throughput serving, and platform best practices—focused on scalable search and recommendation systems. Comfortable across C/C++, Java, Python and NoSQL databases, he combines low-level systems thinking (ESXi lifecycle, storage, control plane) with applied ML platform engineering for production generative AI and inference pipelines. His background includes research on OLAP datastores and HBase performance, reflecting a strong performance-analysis and optimization mindset that informs his production designs. He also has a history of full-stack and mobile development, mentoring and shipping products from prototypes to production, and maintains an active technical footprint via GitHub and technical blogging. Based in New York, he blends academic rigor from Stony Brook with practical delivery at scale to make complex ML systems reliable and usable.
12 years of coding experience
9 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Indraprastha Institute of Information Technology, Delhi
All India Senior School Certificate Examination, Sciences, All India Senior School Certificate Examination, Sciences at St.Columba's School, New Delhi
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Stony Brook University
English, Hindi, Sanskrit