AI Engineer and Full-Stack Developer

Contribute to enterprise software delivery, developing and maintaining backend and full-stack application functionality with Java, Python, Spring Boot, React.js, SQL, and NoSQL. Build and support REST API integrations with a focus on reliability, maintainability, authentication, and secure application behavior.

Optimize API and database interactions to improve responsiveness, stability, and production performance. Use AWS ECS, SQS, RDS, IAM, and CloudWatch for cloud-native deployments, service communication, access control, monitoring, troubleshooting, and production support.

Worked in an AI engineering capacity within an enterprise environment, developing and supporting Python-based application and data workflows for AI-oriented use cases. Contributed to backend services, API development, structured data processing, and maintainable business logic.

Worked with SQL, NoSQL, React-based interfaces, and backend integrations connecting data processing with user-facing behavior. Participated in testing, debugging, performance improvement, issue resolution, and delivery of production-oriented software functionality.

Supported enterprise application development in a banking environment using Java, Spring Boot, REST APIs, SQL, and related database technologies. Contributed to backend service development, application integration, structured data access, and reliable business workflows.

Performed debugging, testing, defect resolution, and ongoing production-focused application support. Collaborated with engineering, QA, and delivery teams to implement software changes aligned with technical and business requirements.

Developed and supported enterprise Java software within large-scale delivery teams, with emphasis on maintainability, reliability, and production-quality engineering. Used Java and Spring Boot to build backend services, business logic, and API-driven application functionality.

Supported integration between application services and relational databases using SQL and enterprise data-access patterns. Investigated defects, performed debugging and testing, implemented fixes, refactored code, and maintained enterprise systems alongside distributed engineering teams.