AI/Data Infrastructure | 0-1 Product Engineering | Cloud-Native Infrastructure, DevOps, and Platform Engineering
Results-driven Software Professional with over a decade of experience in Engineering, DevOps, and Architecture roles; Proven expertise in leveraging Computer Simulation and AI to deliver innovative Industry 4.0 solutions
- End-to-end engineering management experience, including designing, developing, and deploying secure web applications across various cloud and hybrid platforms
- Driving both research initiatives and the development of market-ready software products
- Spearheading rapid prototyping projects and effectively leading technical teams using Agile methodologies
- Product Lifecycle: Full lifecycle expertise, from service design and strategy through development, analytics, and release.
- Solution Design: Architecting solutions, applying OOAD principles, and conducting capacity planning.
- Cloud Infrastructure: Deep understanding of cloud-native services (networking, compute/Kubernetes, storage), IaC, and serverless technologies.
- DevSecOps & Platform Engineering: Implementing CI/CD pipelines, managing software releases, and automating workflows for engineers.
- Development & Testing: Proficient in system/software architecture, design patterns, and backend development with robust testing practices.
- Data Engineering: Building and deploying ETL pipelines, AI/ML workflows, and collaborative multi-agent systems.
- Operations: Ensuring product reliability (RCA, incident response, monitoring), security (SIEM, endpoint protection), and cost optimization.
- Engineering Dashboards: Creating data pipelines and dashboards to track DORA metrics and product KPIs.
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My personal portfolio showcases my coding proficiency and problem-solving skills through tangible code samples. These samples, which are my own original work, provide concrete evidence of my ability to write clean, efficient, and maintainable code. They go beyond theoretical discussions or hypothetical scenarios, offering a direct look at my coding style and capabilities.
| Name | Repository | Skill Type | Technologies |
|---|---|---|---|
| - Use Terraform to provision an AWS Kubernetes cluster with an NGINX ingress controller to manage external access to your web application's backend API server. - Set up Prometheus to collect metrics, visualize them with a Grafana dashboard, and configure alerts for critical thresholds. |
Code Sample (On Request) | Cloud Engineering (CE), and Site Reliability Engineering (SRE) | Infrastructure as Code (Terraform), Amazon Web Services (AWS), Grafana Cloud and Prometheus |
| Build a FastAPI/Node.js web app with RESTful APIs: one for webhook/callback, one for basic CRUD operations on a simple database (e.g., PostgreSQL). | Code Sample (On Request) | Software Engineering (SE) | JavaScript, PostgreSQL, API Design |
| Demonstrate DevSecOps proficiency for setting up Continuous Integration (CI), Continuous Delivery (CD1), and Continuous Deployment (CD2) Pipelines using Github Actions focused on AWS Cloud | Code Sample (On Request) | Developer Security & Operations (DevSecOps) | Infrastructure as Code (Terraform), YAML (Github Actions), Amazon Web Services (AWS) |