Portfolio & Services
Business-grade infrastructure solutions
Engagements are scoped as business outcomes, not just technical tasks — faster releases, fewer incidents, and infrastructure that holds up under audit and under attack.
Consulting Services
CI/CD Pipeline Architecture
Design and implementation of automated build, test, and deployment pipelines that let teams ship confidently and often.
- Pipeline design & implementation (GitHub Actions, GitLab CI, Jenkins)
- Automated testing & quality gates
- Progressive delivery (canary, blue/green)
DevSecOps Integration
Security folded directly into the development lifecycle — not a final gate, but a continuous practice.
- SAST/DAST & dependency scanning integration
- Secrets management & least-privilege IAM design
- Compliance-ready audit trails
Cloud Infrastructure Hardening
Infrastructure as code with a security-first architecture, built to withstand real-world threat models.
- Terraform/IaC infrastructure design
- Network segmentation & zero-trust patterns
- Cost-aware, resilient multi-environment setups
AI Infrastructure Engineering
Production infrastructure for AI workloads — model serving, data pipelines, and secure inference at scale.
- Model serving & inference infrastructure
- Secure data pipeline architecture
- GPU cost optimization & autoscaling
Selected Projects
Representative work — details adapted to protect client confidentiality.
Zero-Downtime CI/CD Overhaul
DevOpsRebuilt a fintech client's deployment pipeline to eliminate release-day downtime and cut lead time from days to minutes.
- Deployment lead time reduced from ~3 days to under 20 minutes
- Zero production incidents across 6 months of releases post-migration
Security-First Kubernetes Platform
DevSecOpsDesigned a hardened Kubernetes platform with policy-as-code guardrails for a healthcare-adjacent SaaS product.
- Passed third-party security audit with zero critical findings
- Automated policy enforcement blocking non-compliant deployments pre-merge
AI Model Serving Infrastructure
AI InfrastructureBuilt secure, autoscaling inference infrastructure for a client's internal LLM tooling, with cost controls baked in.
- GPU spend reduced through autoscaling and workload scheduling
- Sub-second inference latency under production load
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