Success Stories & Real Results

Designed and implemented a dual-pipeline architecture that routes ML inference workloads to GPU or CPU based on batch size, achieving 75% cost reduction on large batches and 80% latency improvement on small requests.

Designed and implemented a production-ready framework for migrating a 500GB PostgreSQL database to Aurora PostgreSQL with zero downtime using AWS DMS, Terraform, and automated validation.

Designed and implemented a production-grade Kubernetes platform with GPU support, GitOps automation, and comprehensive observability, transforming a fragile infrastructure into a reliable ML platform.

Transformed a fintech company's deployment pipeline, reducing release cycles from weeks to hours while maintaining strict compliance requirements.

Implemented AI-driven operations monitoring for a healthcare provider, achieving 99.7% accuracy in predicting system failures and preventing critical downtime.

Built a scalable DataOps pipeline for a major e-commerce platform, processing 10TB of daily data and reducing time-to-insight by 50%.

Successfully migrated a manufacturing company's 20-year-old legacy systems to the cloud with zero production downtime and 40% cost reduction.

Designed and implemented a scalable infrastructure solution enabling a media company to handle 10 million concurrent users during peak events.

Implemented comprehensive monitoring and observability solution for a banking institution, achieving 99.99% uptime and meeting strict regulatory requirements.

Developed and deployed machine learning operations pipeline for route optimization, achieving 30% cost reduction and 25% improvement in delivery times.

Implemented comprehensive SRE practices and automation for a SaaS platform, eliminating critical outages and achieving 99.95% uptime.

Transformed release management for a gaming company, enabling 50+ daily deployments with automated testing and zero production issues.

Implemented comprehensive automated testing framework for an insurance company, reducing production bugs by 95% and improving customer experience.

Optimized cloud infrastructure costs for a fast-growing startup, achieving $2M in annual savings while improving performance and scalability.