Aditya is a seasoned technologist and independent researcher, and a software engineer at the world’s largest cloud provider. He has worked with Docker for more than a decade, bridging platform engineering with developer experience across large cloud platforms, Google Cloud, and hybrid environments. His focus is simple and practical: fast and reproducible builds, secure supply chains, lightweight images, and clear telemetry so teams can ship with confidence. He architects and secures high-performance services that operate at internet scale, serving trillions of transactions each day. His work emphasizes resilience and visibility through advanced distributed tracing, real-time analytics, and secure, multi-layered cloud architectures. He has deep expertise in cloud services, CI/CD, threat modeling, and applying AI and machine learning to solve system-level challenges.

Beyond day-to-day engineering, Aditya is a published researcher with foundational work in XGBoost and applied machine learning. He speaks at international conferences on observability, AI, and Docker, translating complex systems into actionable patterns that teams can adopt quickly. As a trusted voice in the cloud-native space, his technical insights on Docker, security, and performance have been featured by the ACM and by leading developer platforms, with articles regularly appearing on the homepages of The New Stack, DZone, TechNative, and Medium. A respected leader in the community, Aditya extends his impact through mentoring, peer review, and standards work. He is a Senior Fellow at AI2030, a Senior Member of the IEEE, and a Fellow of the BCS.

Website: https://scholar.google.com/citations?user=WonjzdcAAAAJ&hl=en