Software Projects & Case Studies

I believe the best way to trust a developer is to see their process. Below you’ll find a selection of my recent projects - from web apps and APIs to DevOps automation. Each one solved a specific business problem and taught me something new about performance and scalability.

LaunchDesk (SaaS Dashboard)

Role: Lead Developer | 3 months
Problem: Real-time stats lagged under load.
Solution: Node microservices + Redis cache layer.
Result: TTFB ↓ 48 %, Uptime 99.98 %.
Stack: React, Node, PostgreSQL, Docker, AWS

FinScope API (Fintech)

Role: Backend Engineer | 5 months
Problem: 3 bank feeds, no standard API.
Solution: FastAPI service with OAuth rotation and retry queues.
Result: 99.9 % sync accuracy, 0 data loss.

EcoTrack (IoT)

Role: Full-Stack Dev | 6 months
Problem: Sensor data loss and complex setup.
Solution: Next.js dashboard + AWS IoT rule engine.
Result: Data loss ↓ 90 %, setup time ↓ 50 %.

Open-Source Tools

Small projects that grew legs- CLI for API mocking in Python, VS Code snippets pack for Next.js, and a GitHub Action for automated linting.

Case Study

FinScope API

I was hired to create a bridge between bank systems and a unified financial dashboard. After reviewing their existing architecture, I proposed a modular FastAPI setup with asynchronous request handling and Redis-backed task queues. The result was a 3× faster processing pipeline and a dashboard that could handle 10 000 daily transactions without fail.

Next Steps:

Now the system is being extended with a machine-learning anomaly detector I’m co-developing.