Case Studies

Real impact
proven at scale

01Staffing

Rapid Talent Deployment for Enterprise Digital Transformation

Scaled a Fortune 500 client's engineering team from 15 to 120+ in 6 months, providing skilled developers, architects, and DevOps engineers to accelerate their digital transformation initiative.

120+

Specialists Placed

40%

Faster Hiring

95%

Retention Rate

Challenge

Aggressive timeline to scale technology teams for a multi-million dollar digital transformation, with a shortage of qualified candidates in the local market.

Solution

Deployed our talent network to source, vet, and onboard 120+ specialists across full-stack development, cloud, and data engineering roles with 95% retention over 12 months.

ReactJavaAWSKubernetes
02Enterprise Software

Microservices Platform for Insurance Claims Processing

Modernized a legacy monolithic claims processing system into an event-driven microservices architecture, cutting processing time from days to hours and tripling throughput.

70%

Faster Processing

3x

Throughput

99.95%

Availability

Challenge

Legacy monolithic system struggling with growing claim volumes, frequent outages, and deployment cycles spanning weeks.

Solution

Decomposed into 24 microservices with event-driven architecture, deployed on Kubernetes with automated CI/CD, and implemented real-time claims tracking dashboards.

Spring BootKafkaKubernetesPostgreSQL
03Artificial Intelligence

AI-Powered Predictive Maintenance for Manufacturing

Built an intelligent predictive maintenance system for a manufacturing enterprise, reducing unplanned downtime by 45% and saving $2.3M annually through real-time sensor analytics and ML-driven failure prediction.

45%

Less Downtime

$2.3M

Annual Savings

99.2%

Accuracy

Challenge

Frequent unplanned equipment failures across 12 plants leading to costly downtime and production delays.

Solution

Deployed IoT sensors, built real-time data pipelines, and trained custom ML models to predict failures 72 hours in advance with 99.2% accuracy.

PythonTensorFlowKafkaAWS SageMaker
04Cloud & Platform Engineering

Enterprise Cloud Migration for Financial Services

Migrated a financial services company's legacy infrastructure to a cloud-native microservices architecture, achieving 60% cost reduction and 10x faster deployment cycles.

60%

Cost Reduction

10x

Faster Deploys

99.99%

Availability

Challenge

Legacy monolithic applications on aging on-premise servers with manual deployments taking weeks per release.

Solution

Redesigned into microservices, containerized with Kubernetes, deployed on AWS with Terraform IaC and fully automated CI/CD.

KubernetesTerraformAWSGitHub Actions
Start Your Project