Gokulakrishnan Ravichandra Software engineer Software engineer
Software Engineer
I design and build AI-oriented applications, cloud platforms, and full-stack systems that are practical to ship and easy to evolve. My work spans agentic workflows, LLM-backed products, infrastructure automation, and the engineering discipline needed to run them well.
AI workflows, retrieval-backed systems, and product-facing intelligent experiences.
Infrastructure automation, scalable delivery pipelines, and cloud-native system design.
Frontend, backend, and operational thinking combined in one delivery flow.
About
Focused on practical engineering across application development, cloud delivery, and AI-enabled systems.
I focus on AI-oriented software products that connect user-facing experiences with cloud delivery, orchestration, and durable system design.
Expertise
A compact view of the areas I work in most often.
Building user-facing products that combine LLMs, orchestration, and reliable application architecture.
Infrastructure automation, environment provisioning, observability, and repeatable release workflows.
Platform-oriented engineering across Kubernetes, streaming, security-aware infrastructure, and runtime telemetry.
Career
Philips / United States
Zoho Corporation / India
Sriwijaya Textech Solutions / India
Projects
Graph-based agent runtime for Kubernetes diagnostics with evidence-backed responses.
Agentic healthcare workflow with Akka, React, RAG, and Ollama-hosted LLMs.
CVE intelligence platform on Kubernetes with LLM-assisted chat and observability.
Terraform and Packer-driven infrastructure delivery with GitHub Actions validation.
Portfolio platform with structured content, Cloudflare Pages deployment, and ElevenLabs voice agent integration.
Donation-enabled healthcare access platform with secure auth and role-based access.
University project management app with RBAC, SSO, ORM, and internationalization.
Education
Academic background and supporting credentials.
Northeastern University
Anna University