Sai Vishwak Korimerla

Staff Software Engineer at ServiceNow

Generative AI & AgentsSystems Engineering (Rust)Deep Learning InfrastructureIntelligent AutomationEnterprise ArchitectureTechnical Mentorship

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About

I am Sai Vishwak Korimerla, a Staff Software Engineer at ServiceNow where I lead the design of enterprise-scale GenAI architectures. My career has been defined by a transition from mentoring new engineers as a Bootcamp Instructor to building high-performance, intelligent automation systems. I am deeply passionate about moving beyond experimental AI toward reliable production deployment, specifically through the use of Rust and distributed agentic systems. I offer deep expertise in systems engineering and the practical application of GenAI within massive enterprise environments. I am looking to engage with the GenAI community and those focused on enterprise infrastructure to explore mutual opportunities and foster technical growth. Whether you are interested in performance-focused AI frameworks like my project AutoAgents or the future of intelligent software, I am always open to a technical deep-dive.

Networking

What I can offer

›Deep expertise in Rust-based AI systems.
›Practical application of GenAI within massive enterprise environments.
›Technical mentorship for software engineers.

Looking for

›expanding my professional network
›exploring mutual opportunities in their industry
›engaging with the GenAI and software engineering community

Best fit for

GenAI researchers and engineersSoftware engineering communityEngineers focused on AI agents and enterprise infrastructureNew talent in the software engineering space

Current Interests

Distributed AI AgentsPerformance OptimizationIntelligent AutomationTechnical EducationInference Infrastructure

Background

Career

Transitioned from technical instruction as a Bootcamp Instructor to leading the design and construction of enterprise-scale GenAI architectures as a Staff Software Engineer at ServiceNow.

Achievements

›Built AutoAgents, a performance-focused AI agent framework using Rust.
›Successfully transitioned deep learning research into production-ready, scalable enterprise systems.

Opinions

Emphasizes the importance of reliable production deployment rather than just experimental AI.
Believes in using high-performance tools like Rust to build the next generation of intelligent software.
Advocates for bridging the gap between large-scale enterprise platforms and emerging agentic technologies.