● Increased XML data parsing efficiency by 500% by strategically managing multiple AWS batch jobs in Python and C#, simulating multithreading capabilities which significantly reduced processing times.● Enhanced code maintenance and scalability by implementing CI/CD pipelines in Bitbucket, leveraging YAML and AWS Boto3 to streamline updates and ensure robust system operations.● Strengthened system security and user authentication by collaboratively integrating AWS Cognito and Azure AD with web front ends, enabling secure employee access via Office 365 credentials.

● Advanced student proficiency in C++ and Object-Oriented programming by conducting engaging instructional sessions that reinforced design principles and practical application skills.● Provided academic support by assisting students during office hours with debugging and troubleshooting, significantly improving their project outcomes and understanding of complex concepts.

● Developed an innovative Python tool that automatically generates regex patterns from datasets, which are then transformed into SQL queries, enhancing the detection of anomalies in database records.● Increased data pattern accuracy from 80% to 95% by refining regex pattern generation, significantly reducing the occurrence of data anomalies and outliers, thus improving data integrity and reliability.● Enhanced productivity and operational efficiency for data analysts by integrating diverse software tools with AWS services (Batch, EC2, ECR) through a user-friendly web interface, simplifying batch job processes.