Summary
Shrey Garg is a software engineer with 11 years of experience building large-scale data and ML-driven systems, currently working on Discovery Ads performance bidding at Google in Mountain View. He combines strong foundations from IIT Kharagpur and an MS in CS (Machine Learning) from UC San Diego with hands-on experience designing high-throughput pipelines at Goldman Sachs that improved data availability and access times dramatically. Past roles include building a Gremlin-like graph traversal language at ThoughtSpot and teaching scalable analytics and advanced data structures as a UCSD graduate TA, showing both product and pedagogical strengths. He has a track record of applying distributed systems (Kafka, Spark, Ignite, Cassandra) and ML tooling to convert noisy market data into actionable insights and real-time visualizations. Comfortable across backend services, big-data infrastructure, and algorithmic problem solving, he also brings robotics/AI experience from autonomous soccer research, reflecting a curiosity for control and coordination beyond typical backend work. Colleagues would describe him as someone who turns complex data challenges into pragmatic, production-ready solutions while mentoring peers and interns.
11 years of coding experience
University of California, San Diego
Bachelor's degree, Computer Science and Engineering, Bachelor's degree, Computer Science and Engineering at Indian Institute of Technology, Kharagpur