Structured case studies showing the business problem, the technical response, and the measurable outcome.
Studies
2 documented engagements
Structure
Challenge → solution → result
Written as concise review material for founders, recruiters, and operators—more decision-ready than a typical case-study archive.
All case studies · outcome-led format
01
Scaling a Gym SaaS from MVP to 10,000 Users
How I rebuilt a fragile gym MVP into a production-ready multi-tenant SaaS platform handling 10,000 members and $200k/month in recurring revenue.
Challenge
The client had a working MVP with serious performance issues, no multi-tenancy, and billing that broke under load. They needed a complete rebuild — fast.
Solution
Redesigned the data architecture for multi-tenancy, rebuilt the billing layer on Stripe Subscriptions, implemented Redis caching, and introduced a queue-based async job system.
Delivery stack
LaravelVue.jsMySQLRedisAWS EC2+2 more
Business Outcomes
Lead result
10,000+ members migrated with zero data loss
$200,000+ monthly recurring revenue processed
API response times reduced from 800ms to under 180ms
Reduced API response times by 85% and enabled a marketplace to scale to 50,000 daily active users without infrastructure cost increases.
Challenge
A growing e-commerce marketplace was suffering under its own success — slow APIs, frequent timeouts, and an architecture that couldn't support new vendor onboarding.
Solution
Introduced a service-layer architecture, aggressive Redis caching, database query optimization, and AWS Lambda for async processing.
Delivery stack
LaravelMySQLRedisAWS LambdaAWS CloudFront+1 more
Business Outcomes
Lead result
API response time: 800ms → 120ms (85% reduction)
Scaled from 10k to 50k daily active users
Infrastructure cost held flat despite 5x traffic growth