• Integrated AI capabilities into DataStage Assistant, leveraging LLMs and Watson Assistant to improve system reliability and user experience.

• Developed Transformer expression builder validation, incorporating Antlr4, ACE Editor, and cpdctl to enhance validation.

• Collaborated with customers to resolve sequential file formatting issues, streamlining migration from legacy

systems and improving efficiency.

• Upgraded Canvas to React 18, leading to top-level modifications that boosted application performance and improved user experience.

• Led TVT for version 5.0.0, contributing to internationalization and optimizing transformer output table’s performance, reducing UI latency by 25%.

• Resolved ACP issues and developed automation for Change Apply/Change Capture, enhancing reliability and simplifying workflows.

• Expanded system capabilities by adding ODBC (Snowflake) support and successfully architecting the Sydney deployment, meeting high-priority deadlines.

Assisted in grading coursework for a class of 15 students.

Conducted informative sessions on the latest technologies and concepts in the field of smartphone-based web development, including Dart, Flutter, Firebase integration, and Material UI.

Provided hands-on guidance and instruction in the application of these technologies to build modern, user-friendly web applications for mobile devices

Designed and actualized a new interface for the Linear TV section, providing users with improved access and audience refinement capabilities. Feature helped increase usability by 50%

Created Audience Sizes feature, efficiently determining audience sizes for specific segments during audience creation through real-time polling led users to choose better audiences

Streamlined application's codebase by building multiple React Hooks for common functionalities thus reducing redundancy in the codebase and making builds faster on CI/CD pipelining on GitHub

Developed a front-end tool for assessing audience size and parameters for display ads on Samsung TVs and mobile devices. Ensured best-in-class production quality for applications with ReactJS and GraphQL

Improved search performance by refining GraphQL queries, reducing query execution time from over 2 minutes to seconds

Gained hands-on experience with Raven, Python, AWS, Kinesis, S3 and GCP during my internship

As a Graduate Student Ambassador at Northeastern University, I had the opportunity to serve as the voice of the student body and provide guidance to incoming students. With my extensive knowledge of the university's programs and resources, I was able to help students make informed decisions about their academic paths and assist with housing arrangements.

In this role, I played a critical role in the student experience by providing one-on-one support through personal meetings and utilizing social media to share information and answer questions. My dedication to the students' success and ability to connect with them on a personal level made me a valuable resource for incoming students.

I am proud of the impact I made in this role and am confident that my communication and problem-solving skills will be valuable assets in any future endeavors.