Cloud Migration Project
Led the migration of a monolithic application to a microservices architecture on AWS, improving scalability and reducing operational costs by 40%.
Specializing in AI/ML engineering, cloud infrastructure, and creating innovative solutions that bridge the gap between artificial intelligence and scalable cloud architecture.
Designing and implementing scalable cloud solutions using AWS, focusing on security, performance, and cost optimization.
Implementing CI/CD pipelines, infrastructure as code, and automated testing to streamline development workflows.
Creating comprehensive documentation and technical content to share knowledge and best practices.
Led the migration of a monolithic application to a microservices architecture on AWS, improving scalability and reducing operational costs by 40%.
Optimized machine learning models for production, reducing inference time by 60% while maintaining accuracy through efficient model architecture and deployment strategies.
Designed and implemented automated deployment pipelines using GitLab CI/CD, reducing deployment time from hours to minutes and improving reliability.