As an SQL Developer, I contributed to database optimization and automation efforts, ensuring efficient data management and system reliability. My role involved:- Creating and managing database tables, indexes, and queries to enhance operational efficiency.- Collaborating with DBAs to maintain data integrity through tablespace management, audits, and quality checks.- Leveraging SVN tools for version control, ensuring consistency across database procedures.- Automating backups, health monitoring, and disk space management to improve reliability.- Developing shell scripts for automated data parsing and loading, streamlining integration processes.- Optimizing SQL queries and database objects for enhanced performance and functionality.This experience honed my technical skills and problem-solving abilities in dynamic database environments.

During my internship, I actively contributed to AI and Python projects through all phases of the software development lifecycle. My responsibilities included:- Developing and optimizing AI and Python solutions to meet project requirements.- Collaborating closely with team members to ensure timely, high-quality deliverables.- Engaging in self-directed learning to deepen expertise in AI frameworks and Python programming.- Applying problem-solving skills to overcome technical challenges and streamline project workflows.- Demonstrating a strong commitment to achieving project goals and fostering team collaboration.This role enhanced my technical acumen and collaborative abilities in AI and software development.