Rahul Panchal

I'm a Software Engineering Associate Director and Technical Architect with 12+ years of experience designing and delivering scalable, cloud-native platforms for global enterprise clients. My core expertise spans Java/Spring Boot, Python, GCP, and AWS, with a strong focus on modernising legacy systems into event-driven microservices architectures.

Over the course of my career, I've led cross-functional teams of 15+ engineers, owned end-to-end technical strategy, and consistently delivered measurable outcomes: a 40% improvement in search responsiveness, 35% reduction in data ingestion latency, 25% fewer P1 production incidents, and 50% faster deployment cycles.

In recent years, I've developed a deep interest in applied Generative AI - integrating LLMs into real engineering workflows, not just as experiments but as productivity multipliers. At Publicis, I institutionalized GitHub Copilot and Claude Code across delivery squads, resulting in a 35% boost in developer productivity. I also led the development of an AI-driven hiring platform and integrated Azure OpenAI into a TB-scale data platform for intelligent quality assessment.

I'm passionate about technical leadership that bridges architecture and people, mentoring engineers, partnering with executive stakeholders, and translating business goals into actionable engineering roadmaps. I thrive in complex, high-stakes environments where system reliability, delivery speed, and team growth all matter equally.

Currently pursuing Google Cloud Professional Architect certification (expected Q4 2026), and always exploring what's next at the intersection of AI and platform engineering.