Project
AI development
As a founding engineer, I built AI systems that used ML inference to support cancer diagnosis. I also helped build reliable platform infrastructure for foundational models and AGI-oriented inference pipelines.
System & Software Architect
Vasishta Kuruganti Where AI meets cloud, reliability, and business impact.
Vasishta (Vas) Kuruganti builds the systems that make intelligent systems possible.
I work across AI development, AgenticAI, AI infrastructure, cloud platforms, site reliability engineering, and software architecture. My focus is simple: build systems that are scalable, observable, resilient, and ready for production.
Vasishta (Vas) Kuruganti, System & Software Architect
About
I design systems where software, infrastructure, and intelligence meet.
Over fifteen years, I’ve worked across software engineering, building and training models from data, AgenticAI, infrastructure architecture, distributed systems, and reliability engineering.
My background spans enterprise platforms, cloud-native systems, AgenticAI, automation, observability, AI development, and production infrastructure for machine learning workloads. I studied engineering in India and earned a Master of Engineering from Boston University, where I focused on machine learning, signal processing, complex systems, and distributed computing.
Current focus
Large-scale platforms for AI and the enterprise.
At Broadcom, I design and build distributed AI infrastructure systems, scale AI agents, and improve the reliability and performance of enterprise platforms.
My work cuts across AI engineering, system architecture, cloud-native environments, automation, and infrastructure tooling. I collaborate across engineering teams to improve scalability, operational resilience, and performance under real production constraints.
AI Engineering & InfrastructurePlatform design for inference, agents, and production AI systems.
Distributed systemsArchitecture for scale, fault tolerance, and operational durability.
Reliability engineeringObservability, triage, autoremediation, and incident reduction.
Cloud automationTooling and workflows that make complex platforms easier to run.
Project
Platform reliability
I design monitoring, triage, and autoremediation frameworks that reduce production incidents and improve resilience across distributed systems.
Writing
Ideas about platforms, infrastructure, and engineering strategy.
I write about platform engineering, systems architecture, technical leadership, and the organizational leverage that comes from building the right infrastructure.
Skills
Built with modern infrastructure.
Python, Go, Java, Kubernetes, Docker, AWS, Ansible, Terraform, StackStorm, Prometheus, Grafana, and the systems thinking needed to connect them into something that works.
Interests
Focused on what matters next.
Distributed systems, cloud infrastructure, platform engineering, reliability engineering, and machine learning systems.