Work Experience

Architected an enterprise-grade cloud cost optimization platform for Fortune 500 clients, achieving 30% average savings through actionable spend analytics and strategic business alignment.

Built a scalable microservices ecosystem and optimized APIs, enabling precise cost controls, dynamic auto-scaling, and real-time governance for over 50,000 customers in hybrid cloud setups.

Designed and implemented resilient ETL pipelines and machine learning models to power AI-driven recommendations, anomaly detection, and usage analytics—unlocking a minimum of 21% savings through intelligent cloud spend optimization.

Established automated CI/CD pipelines with integrated testing, canary deployments, and rollback mechanisms—achieving a 100% resolution rate for critical incidents and reducing deployment cycles by 35%.

Designed and implemented real-time metadata enrichment and automated indexing pipelines, significantly improving OTT platform discoverability and user engagement through intelligent content tagging and categorization. .

Developed advanced workflows combining CNN-based object recognition and BERT-based NLP to generate feature maps for image processing, enabling iterative model optimization and improving content analysis accuracy over time.

Built on-the-fly event detection and dynamic content tagging systems for video streams, boosting metadata design and searchability by 50%+, while enhancing personalized recommendations, targeted advertising, and real-time analytics.