STAFF SOFTWARE ENGINEER · CHARLOTTE, NC
I build cloud platforms and production AI systems that keep operations reliable and developers moving.
MEET VINOD
Hear how I approach platform engineering, production AI, and the reliable systems behind both.
SELECTED WORK
Production platforms, applied AI,
and the engineering behind them.
Credit Karma · Incident response
Parallel evidence gathering and grounded synthesis for platform incident investigation.
Intuit · Developer support
Intent routing, grounded knowledge retrieval, and human handoff for cloud support.
Intuit · Platform engineering
Shared service context, policy, and audit across a large microservices estate.
google / adk-web
Merged
Safe external links for streamed chat.
Fixed external links opening over the ADK chat view. HTTP/HTTPS links now open safely in a new tab, including links added during streamed responses. Preserved Angular sanitization and added regression tests for external, internal, streamed, and unsafe links.
View merged PR #541Independent prototype that uses read-only incident evidence to suggest fixes for human review. Schema validation and deterministic policy check each proposal.
Explore repositoryA reproducible ML delivery workflow: train through GitHub Actions, package model artifacts, and build a container image for a Flask prediction service.
Explore repositoryHands-on pipeline examples on Kubernetes, from a first greeting workflow to an Iris classifier using Random Forest. Python pipelines compile to executable YAML.
Explore repositoryEXPERIENCE
From systems and networking to cloud platforms and AI operations.
Architecting a shared AgentOps platform on GCP and secure AI-assisted code review workflows with PII redaction and prompt-injection defenses.
Built multi-agent incident investigation tooling and modernized Kafka infrastructure through a ZooKeeper-to-KRaft migration.
Built cloud infrastructure, CI/CD pipelines, and developer tooling for a digital asset platform serving millions of assets.
Progressed from systems and networking into cloud engineering, building EMCO multi-cluster orchestration, Kubernetes controllers, and telemetry systems.
HOW I WORK
I bring a systems and networking foundation to cloud engineering: understand the failure modes, make the platform observable, and build tools that make developers more effective. My recent focus is putting multi-agent systems to work in production operations—with grounding, verification, and security built into the workflow.
Full professional profileWORKING TOGETHER
He's an excellent person, a leader, and he made our team better.
Working with him at Nike was fantastic — he joined in and became an effective team member in no time at all.
I especially admire his efficiency; he is able to quickly diagnose solutions and solve them at the root, especially when it comes to Kubernetes and Linux.
ADK · LangGraph · LangChain · MCP · agentic workflows · autonomous remediation · Vertex AI
Kubernetes (GKE/EKS) · Docker · Helm · K8s Operators/CRDs · Argo CD · Kustomize
Terraform · Crossplane · CloudFormation · Ansible
Splunk · New Relic · Prometheus · Grafana · PagerDuty API and automated workflows
GCP (GKE, VPC, Cloud Run) · AWS (EKS, Lambda, S3) · Akamai CDN
Istio · Calico · Flannel · Envoy · service discovery · load balancing
Golang · Python · Shell scripting · C · C++
Kafka (KRaft/Zookeeper) · MongoDB · PostgreSQL · Redis
M.S., Electrical & Electronics Engineering · 2014–2015
B.E., Electronics & Communications Engineering · 2009–2013
CKA · CKAD · CKS — completed
TryHackMe · Issued August 2026
View credentials on LinkedIn ↗SELECTED WRITING
Follow the change through revision, rendering, API acceptance, workload readiness, and the user’s request to locate the first failing boundary.
Read article ↗Compare the reconciliation and ownership models behind Argo CD and Flux before choosing a delivery tool.
Read article ↗Separate model recommendations from operational authority, and define evidence, policy checks, and success criteria before taking action.
Read article ↗LET’S CONNECT
Let’s talk about Staff and Principal opportunities in platform engineering, AI infrastructure, and reliability.