He/Him Β· Cloud Native Enthusiast Β· CS '26 β Kubernetes Β· βοΈ Cloud Β· π§ AI Infra Β· π DevSecOps
Designing systems that scale, securing systems that matter. β¨
π I build secure, scalable cloud-native systems with a focus on AI infrastructure and DevSecOps.
βοΈ Working across Kubernetes, Terraform, CI/CD, and cloud platforms to turn ideas into production-grade systems.
π Currently exploring how security integrates into AI workloads and distributed systems.
π§ I focus on:
- Cloud-native architecture
- Infrastructure for AI workloads
- Secure software supply chains
- Observability and system reliability
A cloud-native backend system for AI inference, designed for scalability, reliability, and real-time interaction.
- π WebSocket-based streaming API for real-time LLM responses
- π§ CPU-based LLM inference using Ollama (TinyLlama)
- π Kubernetes service discovery and internal networking
- βοΈ CI/CD-driven Docker build and deployment pipeline
- π οΈ Deep debugging across containers, networking, and runtime layers
A production-grade DevSecOps + GitOps pipeline with strong security and quality enforcement.
- π Code Security β CodeQL (SAST): Detects vulnerabilities (injection, secrets, auth flaws, etc.)
- π§Ή Linting β Code Quality Gate: Enforces clean, maintainable code
- π§ͺ Automated Tests: Prevents regressions across services
- π³ Docker Build: Secure, reproducible container builds
- π‘οΈ Container Security β Trivy Scan: Detects OS/package vulnerabilities & CVEs
- π¦ Artifact Distribution: Pushes verified images to Docker Hub
- Security embedded into CI/CD pipelines
- Shift-left vulnerability detection
- Secure software supply chain (SCA + SBOM)
- GitOps-based deployments with declarative control
- End-to-end pipeline gating for production readiness
- βοΈ Deploying AI workloads on cloud (GCP focus)
- β‘ Exploring GPU vs CPU inference tradeoffs
- π Strengthening runtime and API security layers
- π Moving toward fully automated, scalable AI platforms
π Repositories:
π https://github.com/barbaria888/Ollama-Chatbot-deployment
π https://github.com/barbaria888/Educonnect-D
- ποΈ Google Cloud β Architecting with GKE, Terraform, AI Infrastructure (in progress)
- π IBM β Application Security for Devs & DevOps (in progress)
- π§± AWS β Cloud Essentials & Practitioner Prep
- π§Ώ Oracle Cloud β OCI Foundations Associate
- π¦ CNCF Stack β Kubernetes, Argo CD, OpenShift, Tekton
π Continuous learning through hands-on labs, real systems, and applied projectsβnot just coursework.
βThe number 1 skill set is flexibility and just knowing how things work and map that to real-world context β¦ and that makes you clever.β β Kelsey Hightower
OBSERVE IN SILENCE Β· BUILD IN DEPTH Β· STRIKE WITH PRECISION
Engineered beneath the surface. Proven where it matters.





