Dweep Gogia is a Senior Software Engineer at Meta with nine years of experience building and scaling massive distributed systems that power AI infrastructure across 10+ global regions. He specializes in reliability, efficiency, and automation—authoring throughput-based autoscaling that boosted CPU utilization from 15% to 40% and saved over 4 MW of peak data center power. Dweep led a team to improve Disaster Recovery readiness from 10% to 99.99% and productionized Agentic AI workflows (Claude Opus-based) to automate on-call triage and cut critical interventions in half. Comfortable in Python, Golang, Java, and Kubernetes, he balances hands-on systems engineering with people leadership, mentoring 50+ engineers through the MLH Production Engineering Fellowship. Notably, his early work on real-time tracing for multi-TB/s ingestion pipelines reduced diagnosis time from hours to minutes, demonstrating a knack for turning operational pain points into scalable, measurable solutions.
9 years of coding experience
1 year of employment as a software developer
High School Education, High School Education at OLF Convent School - Gurgaon, Haryana
Bachelor of Engineering (B.E.), Information Technology, Bachelor of Engineering (B.E.), Information Technology at Panjab University
Master's degree, Computer Science, Master's degree, Computer Science at Northeastern University
Higher Secondary Education, Non Medical Science, Higher Secondary Education, Non Medical Science at Delhi Public School - Vasant Kunj, New Delhi
Contributions:2 PRs, 14 pushes, 3 branches in 24 days
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