Engineers and engineering leaders who build, deploy, and scale software systems.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Securing software systems — application security, threat modeling, authentication, and infrastructure protection.

Designing scalable, reliable software systems — architecture patterns, distributed systems, and technical tradeoffs.

Operating and deploying large language models in production — fine-tuning, inference, monitoring, and cost optimization.

Transition from Prototyper to Principal Architect

PhD in ML | Google AI Accelerator Alum

Dr. Aki Wijesundara