Case Studies
Discover how we apply software engineering best practices to resolve performance limits, reduce operational overhead, and construct reliable applications.
API Brokerage Engine Modernization
The Challenge
A leading financial middleware platform was experiencing severe transactional latency (averaging 800ms) during high-frequency peak hours, risking merchant contract breaches.
Our Solution
Re-engineered the legacy Java middleware into an asynchronous, concurrent Go microservices layer. Deployed as containerized services on Google Cloud Run with an in-memory Redis cache layer.
HIPAA-Compliant DevOps Infrastructure
The Challenge
A fast-growing telehealth platform struggled with slow, manual server setups and needed automated audits to secure patient medical records and maintain HIPAA compliance.
Our Solution
Architected a secure AWS Kubernetes (EKS) infrastructure managed entirely by Terraform. Integrated HashiCorp Vault for credential management and SonarQube for security gate scans in the CI/CD pipeline.
IoT Asset Tracking & Fleet Intelligence
The Challenge
A transport logistics operator had difficulty tracking 10,000+ trucks in real-time, causing browser performance bottlenecks and lagging location indicators for operators.
Our Solution
Built a customized tracking interface featuring WebSockets for streaming geo-locations and WebGL maps. Decoupled calculations from the main thread using HTML5 Web Workers.
Real-Time Recommendation Engine Sizing
The Challenge
An e-commerce catalog was losing potential sales because recommendation calculations took over 2 seconds, leading to shopping cart abandonment during checkout.
Our Solution
Programmed a vector similarity matching pipeline in Python, serving dynamic queries from an optimized Redis Search database, paired with a clean front-end layout.
Legacy Core Insurance Data Migration
The Challenge
An insurance provider's data was trapped in fragmented 20-year-old database monoliths, making compliance auditing slow and claiming processing times drag.
Our Solution
Designed a secure data extraction pipeline using Apache Spark, mapping data structure into a relational Postgres schema and indexing files with Elasticsearch.