Suryansh G

Founder

KubeDecision • Autônomo

Sep 2026 - Present • 2 mos

As the Founder and Lead Developer of KubeDecision, I independently lead the development of an AI-powered Kubernetes infrastructure intelligence platform focused on incident analysis, infrastructure optimization, architecture intelligence, security, and autonomous operations. I design and develop its backend architecture, Kubernetes integrations, and a deterministic reasoning engine built in Go. I also work on integrating LLMs with infrastructure-specific decision logic, developing audit mechanisms, and addressing system reliability, security, and scalability challenges. My responsibilities span product architecture, backend engineering, API development, AI integration, infrastructure automation, database design, and technical audits. Building KubeDecision has given me hands-on experience in taking a complex technical concept from architecture to a substantial software product while working across multiple engineering disciplines.

Open Source Contributor

Layer5

Dec 2025 - Present • 11 mos

Open-Source Engineering Experience I am an active contributor to Meshery, a CNCF-incubating cloud-native infrastructure management project under the Layer5 ecosystem. My contributions span multiple repositories, including Meshery, MeshKit, Meshery Schemas, and Meshery Academy. My engineering work includes: - Developing and improving Go backend functionality. - Fixing API pagination and configuration-handling bugs. - Building CLI features and developer tooling. - Working on Kubernetes connection lifecycle management, concurrency and reliability. - Developing error-code allocation and validation tooling. - Implementing recursive schema validation and correcting API contracts. - Improving GitHub Actions workflows and automated testing. - Contributing to technical documentation. Some of my merged contributions include backend pagination fixes, safe CLI configuration handling, and error-code validation improvements in MeshKit. I also have submitted work addressing advanced Kubernetes lifecycle issues, CLI enhancements, schema correctness and CI automation. This experience has strengthened my ability to investigate unfamiliar codebases, understand complex engineering problems, write maintainable code and collaborate through established open-source development workflows.

Cloud Computing Internship

IBM

Sep 2025 - Nov 2025 • 2 mos

Completed an internship focused on cloud computing fundamentals and IBM Cloud services. Learned core concepts such as cloud architecture, deployment models, and service-based infrastructure. Worked with IBM Cloud tools to understand application deployment, cloud resource management, and basic service integration. Gained exposure to real-world use cases of cloud platforms.