● Designed and integrated iOS and Windows applications using Swift, XML, Maximo, Python, and Jython to improve operational efficiency across the EAM department.● Streamlined software deployment processes by installing, troubleshooting, and upgrading applications, ensuring minimal downtime and swift error resolution.● Optimized system integration by leveraging REST APIs, enhancing data exchange and workflow automation.● Simplified complex technical concepts for cross-functional teams, effectively bridging the gap between technical and non-technical stakeholders.● Spearheaded data management and project oversight efforts, excelling in problem analysis, resource allocation, and delivery of high-quality results.● Conducted in-depth assessments of departmental requirements, designing and implementing technical processes and procedures to enhance overall workflow efficiency and team productivity.

● Applied Python programming to create a machine-learning model dedicated to enhancing credit card fraud prevention.● Successfully utilized Transformer models, including GPT for generating synthetic data related to credit card transactions, and BERT for feature extraction from transaction datasets.● Demonstrated effective teamwork by actively collaborating with fellow team members to enhance the model's accuracy and overall performance.

● Played a vital role in implementing project architecture, standards, and established processes to ensure streamlined development.● Conducted thorough research to pinpoint and document the technical requirements of clients, facilitating effective project planning.● Developed and meticulously documented the project's system architecture, providing a structured foundation for development.● Designed data flows and database schemas, contributing to the creation of efficient and organized data structures.● Actively participated in the implementation of project design, adhering to established standards and processes.● Utilized Java and C# as primary programming languages, consistently demonstrating proficiency and expertise.

● Developed and maintained Python code for a variety of AI applications.● Evaluated and refined AI solutions to improve their accuracy and performance.● Collaborated with a cross-functional team of engineers, data scientists, and other technical experts to deliver successful AI projects.● Mentored other engineers in Python programming and AI techniques.