Our Work

Portfolio — Cloud, AI & Web Development Case Studies

Every project below represents a real challenge, a thoughtful solution, and measurable results. This is the kind of work we do — and the kind of impact we deliver.

Financial Technology

Cloud Migration for a FinTech Leader

Client: Finova Labs

The Challenge

Finova Labs was running critical financial workloads on aging on-premise infrastructure. Deployments took hours, scaling was manual, and any downtime carried regulatory risk.

Our Solution

We designed and executed a phased migration to AWS with zero downtime. The new architecture uses containerized microservices on EKS, automated CI/CD pipelines, and a robust disaster recovery strategy that meets SOC 2 compliance requirements.

Results

99.99% uptime achieved post-migration
Deployment time reduced from 4 hours to 8 minutes
Infrastructure costs reduced by 35%
SOC 2 compliance achieved ahead of schedule
SaaS / Data Analytics

AI-Powered Recommendation Engine

Client: DataPulse

The Challenge

DataPulse needed a recommendation engine that could process millions of data points in real-time to surface personalized insights for each user, but their team lacked deep ML expertise.

Our Solution

We built a hybrid recommendation system combining collaborative filtering with a transformer-based model for content understanding. The system processes user behavior signals in real-time via a streaming pipeline and serves personalized recommendations with sub-100ms latency.

Results

40% increase in user engagement
28% improvement in content discovery
Sub-100ms recommendation latency
Model accuracy improved by 3x over baseline
E-Commerce

High-Scale E-Commerce Platform Rebuild

Client: NexGen Retail

The Challenge

NexGen Retail's existing platform collapsed under peak traffic during major sales events. The monolithic architecture could not scale horizontally and the codebase had accumulated years of technical debt.

Our Solution

We rebuilt the platform as a microservices architecture with Next.js on the frontend and event-driven services on the backend. A multi-layer caching strategy and auto-scaling configuration ensured the system could handle extreme traffic spikes without manual intervention.

Results

Handled 50x normal traffic on launch day
Page load time reduced by 60%
Cart abandonment decreased by 22%
Zero downtime during peak events

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