Below is a showcase of key engineering projects that demonstrate my experience in Platform Engineering, Infrastructure Automation, and Agentic AI solutions.

1. Infrastructure AI Co-Pilot

Agentic AI Developer | 2025 - Present
Domain Agentic AI, LLMs, Operations Automation
Technologies
LangGraph RAG Python AWS API GitHub Actions
Challenge

Troubleshooting failing CI/CD pipelines and infrastructure alerts in a multi-region setup was highly manual, causing long developer blockages and higher mean time to resolution (MTTR).

Solution

Architected an autonomous AI Co-Pilot using LangGraph and Retrieval-Augmented Generation (RAG). The agent queries cloud logs (CloudWatch), cross-references codebase docs, and proposes (or auto-applies with approval) fixes for failing builds and infrastructure anomalies.

My Contribution

Developed the multi-agent graph architecture, build tools for log analysis, custom integration points with the AWS SDK, and the vector storage pipelines for developer runbooks.

Key Achievements
  • Reduced incident troubleshooting Mean Time to Resolution (MTTR) by 60%.
  • Automated 75% of routine build error resolutions.
  • Implemented secure, Human-in-the-Loop approval workflows for active infrastructure state modifications.

2. Self-Service Developer Platform Portal

Lead Platform Architect | 2024 - 2025
Domain Platform Engineering, IaC, Cloud Security
Technologies
AWS EKS Terraform Ansible Docker Python
Challenge

Developer onboarding and new environment creation involved manual Jira tickets, taking between 3 to 5 business days per developer and leading to layout inconsistency across environments.

Solution

Designed a self-service developer portal integrating Terraform cloud templates and Kubernetes (AWS EKS) namespaces, allowing engineers to bootstrap isolated, compliant dev/test environments on-demand.

My Contribution

Built the core Python automation back-end, wrote reusable Terraform modules mapping company security compliance rules, and set up Ansible playbooks for automated server configurations.

Key Achievements
  • Decreased environment provisioning time from 4 days to under 15 minutes.
  • Eliminated environment configuration drift across dev/prod environments by 100%.
  • Implemented automated resource-expiry limits, saving over $45k/year in orphaned development servers.

3. Enterprise CI/CD Pipeline Standardization

Senior DevOps Engineer | 2022 - 2023
Domain DevOps, Release Engineering, CI/CD
Technologies
GitHub Actions Docker SonarQube Prometheus Grafana
Challenge

Lack of uniformity across dozens of pipeline styles led to slow deployment times, security vulnerabilities, and no visual dashboard to track deployment health.

Solution

Migrated diverse legacy CI systems to a centralized, standardized repository of reusable GitHub Actions workflows containing auto-linting, SAST, and automated canary releases.

My Contribution

Designed reusable workflow templates, built pipeline health exporter metrics to Prometheus, and created real-time Grafana dashboards monitoring build times and deployment error rates.

Key Achievements
  • Reduced deployment cycle time by 70%.
  • Achieved zero-downtime blue-green deployment strategies for customer-facing services.
  • Added automated SAST scanning to 100% of active software projects.

Open Source & Community

AI Agent Operations Dashboard

  • Role: Maintainer & Creator
  • Description: A light-weight local monitoring utility that visualizes multi-agent graphs and token consumption metrics during runtime. Built with Python and Tailwind CSS.
  • GitHub Repository

Custom Ansible Modules

  • Description: Contributed enhancements to various community Ansible collections, improving compatibility with Windows platform management.
  • Contributions Link

Interested in collaborating or building high-performance systems?

Let's Work Together