Building reliable
cloud infrastructure
I design, automate, and scale cloud systems with security and observability built in from day one — not bolted on later.
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About
Who I am
I'm a Cloud & DevOps Engineer who enjoys turning manual, fragile infrastructure into secure, automated, and observable systems.
I've worked across AWS, Azure, and GCP — building CI/CD pipelines, Terraform modules, Kubernetes deployments, and monitoring stacks used by real teams in production.
What excites me most:
Master of Science
Management Information Systems
University of Arizona
Open to roles in
Experience
Where I've worked
DevOps Intern
Blue Cross Blue Shield of Arizona
- Automated multi-environment AWS deployments using Terraform, standardizing infrastructure across teams
- Integrated Veracode security scans across 300+ CI/CD pipelines to proactively mitigate vulnerabilities
- Improved deployment reliability with automated smoke testing and REST API validation
Cloud Engineer
LTIMindtree
- Reduced manual deployment effort by 70% through Terraform and Ansible automation
- Optimized containerized workloads on Kubernetes (AKS, EKS) for high availability and scalability
- Built Grafana and Prometheus dashboards enabling real-time observability across cloud workloads
Data Analyst Intern
MEDTOUREASY
- Built automated reporting dashboards with Power BI and SQL Server, reducing manual reporting by 50%
- Designed data pipelines for healthcare analytics supporting 10,000+ patient records
Projects
What I've built
NYC Taxi Dynamic Fare Estimation Platform
Real-time fare estimation requires scalable infrastructure, low-latency APIs, and reliable deployments. Manual deployments and lack of automated testing led to frequent downtime.
- Containerized the ML model and API using Docker for consistent environments
- Built GitHub Actions CI/CD pipeline with automated linting, testing, and deployment
- Implemented Redis caching layer reducing API response time by 60%
- Configured environment separation (dev/staging/prod) with managed PostgreSQL
YouTube Trends Analytics Pipeline
Processing large-scale YouTube data required serverless architecture that handles variable workloads without over-provisioning. Traditional ETL pipelines were too rigid and expensive at scale.
- Built event-driven data pipeline using AWS Lambda triggered by S3 uploads
- Automated data cataloging with AWS Glue crawlers for schema discovery
- Enabled ad-hoc SQL queries on S3 data lake using Athena (no database provisioning)
- Implemented cost optimization with S3 lifecycle policies and intelligent tiering
Bakery Demand Forecasting System
Small businesses struggle to plan seasonal production from historical sales data. This project packages demand forecasting as a cloud service so forecasts can be generated through an API instead of spreadsheets.
- Built a containerized forecasting service using Python and Prophet
- Deployed on DigitalOcean App Platform with autoscaling containers for inference
- Used object storage for model artifacts and scheduled batch retraining via cron
- Exposed forecasts through an HTTPS-secured REST API
Philosophy
How I work
Automation-First
If you're doing it manually more than twice, it should be automated. I treat infrastructure as code and deployment as a product feature.
Security by Default
Security isn't a checkbox — it's integrated into the pipeline. Every deployment enforces least-privilege and maintains audit trails.
Observability as a Feature
You can't improve what you can't measure. Monitoring, logging, and alerting are core infrastructure — not afterthoughts.
Infrastructure as Product
Platform teams exist to enable developers, not gatekeep. I design self-service infrastructure that's documented and easy to use.
Skills
Technical toolkit
Cloud Platforms
AWS
Azure
GCP
Multi-cloud infrastructure design and migration experience
Infrastructure & Automation
IaC
CI/CD
Containers
GitOps workflows and immutable infrastructure patterns
Observability & Security
Monitoring
Logging
Security
Shift-left security and compliance automation
Programming & Data
Languages
Databases
Analytics
Infrastructure automation and data pipeline development
Certifications
Credentials
HashiCorp Certified: Terraform Associate (004)
HashiCorp
Microsoft Certified: Azure Administrator Associate
Microsoft
Microsoft Certified: Azure Fundamentals
Microsoft
Microsoft Certified: Power BI Data Analyst Associate
Microsoft
Microsoft Certified: Azure Data Fundamentals
Microsoft
Microsoft 365 Fundamentals
Microsoft
HackerRank SQL (Intermediate)
HackerRank
Contact
Let's build something
reliable together
I'm actively seeking Cloud, DevOps, Platform Engineering, or SRE-focused roles. Let's connect and discuss how I can help your team build resilient, scalable systems.