Developed and maintained scalable, cloud-native backend systems using Python and AWS, improving system performance, automation, and reliability.

Designed and implemented secure, high-performance RESTful APIs with FastAPI and SQLAlchemy, ensuring efficient data processing and reducing latency.

Automated CI/CD pipelines using Jenkins and Docker, increasing deployment speed and reducing release errors. Managed cloud infrastructure with Terraform.

Engineered and maintained scalable, cloud-native backend and machine learning systems on AWS, ensuring high availability and reliability.

Developed and optimized backend APIs and microservices in Python and FastAPI, enhancing system performance.

Deployed and managed serverless applications with AWS Lambda and containerized services on ECS; orchestrated workloads using Kubernetes.

Supported production-scale machine learning systems by integrating Machine Learning, Data Engineering, and IT Operations best practices, ensuring seamless operation and scalability.

Designed and implemented comprehensive data quality and validation frameworks, increasing data accuracy.

Deployed scalable ML models on AWS SageMaker and AWS Lambda, reducing model inference latency resulting in faster prediction responses.