Summary
Wajahat Siddiqui is an AI-driven engineering manager with 11+ years of experience building cloud-native platforms, distributed systems, and generative-AI products across e-commerce, IoT, and media. He has led global teams across India, Europe, and the US to modernize infrastructure (including a high-impact AWS→GCP migration) and deliver AI-first platforms that materially improved business metrics and developer velocity. His work blends hands-on architecture—microservices, Kubernetes, event-driven design—and production-grade AI (GPT-4, LangChain, Vertex AI, RAG) to shorten lead times and automate complex workflows. Notable results include a $2.7M annual cost reduction, a deal-generation AI platform used by 90% of sales reps, and 95% latency improvements on marketplace APIs. Before Groupon and Crunchyroll he architected IoT backends at Samsung and contributed to Android browser stacks shipped on hundreds of millions of devices, giving him deep experience in reliability at scale. Based in Bengaluru, he’s passionate about rethinking software delivery in the AI era and scaling teams that own both innovation and operational excellence.
11 years of coding experience
Masters of Technology, Computer Science, Masters of Technology, Computer Science at University of Hyderabad
Bachelors of Engineering, Information Technology, Bachelors of Engineering, Information Technology at Osmania University
English, Hindi, Urdu, Arabic, Telugu