Projects #
Here's what I've built and what I learned.
MogulPlex: Building a Collaborative Platform from Scratch #
Timeline: 6 weeks
Stack: React, Node.js, WebSockets, AWS
Collaborated on a fullstack web application for business collaboration, taking it from concept to working MVP that placed in a competition and got accepted into an accelerator.
Key features:
- JWT authentication
- Real-time collaboration using WebSockets
- Responsive React UI optimized for desktop and mobile
- Automated testing and CI/CD pipeline
Lessons:
- Balancing rapid development with maintainable architecture
- Building real-time features that scale
- The importance of automated testing when moving fast
- How to scope an MVP that delivers value quickly
Healthcare Platform: Infrastructure as Code Migration #
Timeline: 4 weeks
Stack: Terraform, AWS (EC2, RDS, CloudWatch), GitLab CI/CD
Manual deployments taking 2+ hours, AWS costs climbing 40% month-over-month, and production deployments that felt like Russian roulette.
Solution:
- Complete Infrastructure as Code setup with Terraform
- Automated CI/CD pipeline with proper staging environment
- AWS resource optimization and cost monitoring
- Centralized logging and alerting with CloudWatch
Results:
- Deployment time: 2+ hours → 8 minutes
- AWS costs: Reduced by 35% monthly
- Incident response: Rollbacks in under 2 minutes
- Team could deploy without anxiety
Key takeaways:
- How to audit and optimize AWS infrastructure systematically
- The value of staging environments that mirror production
- Cost optimization strategies for startup-scale AWS usage
- Building deployment pipelines that developers trust
Enterprise Spring Boot Modernization #
Timeline: 3 weeks
Stack: Java, Spring Boot, JUnit, Maven
A 5-year-old Spring Boot application with a 45-minute test suite. Developers were afraid to make changes, and "works on my machine" was the unofficial deployment strategy.
Changes:
- Refactored to clean architecture with proper separation of concerns
- Optimized test suite (45 minutes → 8 minutes)
- Set up automated code formatting and linting
- Created comprehensive documentation and runbooks
Impact:
- Test execution: 82% faster
- Development velocity: 40% more features shipped per sprint
- Bug reports: Down 60%
- Developers comfortable making significant changes
Takeaways:
- How to identify and eliminate slow tests systematically
- Strategies for refactoring legacy code without breaking everything
- The importance of automated standards for team consistency
- Documentation that actually helps the next developer
Questions about any of these projects? Email programtanner@gmail.com