Abhinav Gupta is a software engineer with 8 years of experience building and productionizing data- and ML-driven systems, currently at Meta after earning an MS in Computer Science from Columbia. He has shipped high-impact back-end and pipeline work—at Rakuten he implemented Kafka deduplication and migrated Hadoop to Spark, saving hundreds of thousands per year and protecting revenue on a 5K qps search service—and at Yokogawa he scaled an EfficientNet-based wafer inspection pipeline to boost throughput 25–50x. Comfortable across the full lifecycle, he blends architecture, sprint-level delivery, code review, and deployment with hands-on ML model deployment to cloud infrastructure. He has experience in finance-grade risk modeling from Goldman Sachs and teaching computer systems topics at IIT Hyderabad, showing both domain breadth and mentoring ability. Notably, he moves projects from prototype to cost-saving production (e.g., reducing manual inspections and cutting operational costs), demonstrating a pragmatic focus on measurable business impact.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Science & Engineering and Engineering Science, Bachelor's degree, Computer Science & Engineering and Engineering Science at Indian Institute of Technology Hyderabad
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Columbia University
Contributions:64 commits, 85 pushes, 2 branches in 2 months
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