Aayush Gupta is a pragmatic software engineer with 11 years of experience designing cloud-native, high-throughput backend systems and ML-informed developer tooling. He has led architecture and productionization efforts at companies like Coupang, Atlassian and Disney+ Hotstar—building air-gapped RAG platforms, real-time event pipelines that handle hundreds of millions of events, and migration tooling that materially improved cloud migration success rates. Comfortable across Go, Java, Python and distributed systems, Aayush pairs low-level engineering (vector search, quantized LLM deployments, CDC pipelines) with pragmatic observability and operational improvements that cut debugging and manual work by measurable amounts. He’s also contributed to evaluation and RLHF data efforts for Grok-style models and routinely transforms research ideas into production-grade benchmarks and adversarial tests. Based in Delhi, he mentors engineers and blends curiosity for research with a bias for shipping reliable, auditable systems.
11 years of coding experience
7 years of employment as a software developer
PGPWE, PGPWE at Indian Institute of Management, Lucknow
Engineer’s Degree, Electrical engineering, Engineer’s Degree, Electrical engineering at Delhi College of Engineering
12th, Science, 12th, Science at Shaheed Rajpal DAV Public School
A repository with implementation of algorithms in multiple languages
Contributions:13 commits, 1 PR, 8 pushes in 4 years 9 months
pythoncppleetcodejavascriptmultiple-languages
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