Case Studies &Project Gallery

Architected a cutting-edge cloud-native platform leveraging generative AI to revolutionize infrastructure provisioning and CI/CD pipelines for a leading European FinTech company. This enterprise-grade solution reduced deployment times by 75% while achieving 99.9% system reliability through intelligent automation and predictive analytics.

Built a high-throughput, distributed data streaming platform processing 15M+ events per second with sub-50ms latency for real-time fraud detection, personalized recommendations, and business intelligence. This scalable solution powers a major US e-commerce platform serving 50M+ customers globally.

Designed and implemented a fully serverless, event-driven microservices architecture using AWS Lambda and cutting-edge cloud technologies, reducing operational costs by 68% while handling 15x traffic growth. This scalable solution serves 5M+ users across Asia-Pacific region.

Developed a comprehensive blockchain-powered supply chain transparency and anti-counterfeiting platform for a consortium of European luxury goods manufacturers. This innovative solution provides end-to-end product traceability using Ethereum smart contracts, reducing counterfeiting by 85% and increasing consumer trust by 94%.

Created a comprehensive IoT platform for intelligent fleet and equipment management serving a major German industrial manufacturer. This advanced system processes 75M+ sensor readings daily, enabling predictive maintenance that reduces equipment downtime by 47% and generates €8.5M annual savings.

Implemented a comprehensive machine learning operations (MLOps) platform enabling a Fortune 500 healthcare company to deploy ML models 8x faster while maintaining HIPAA compliance. This advanced system supports 200+ data scientists and processes healthcare data for 25M+ patients across North America.

Developed a comprehensive AI safety auditing platform implementing the NIST AI Risk Management Framework (AI RMF) to automate vulnerability detection, compliance reporting, and risk mitigation across enterprise-scale large language models (LLMs). This platform significantly reduces audit times while enhancing AI governance and security posture.