• Mentored students on algorithms, problem-solving techniques, and technical communication skills for interviews.

• Utilized Postman and SQL to validate endpoints in the API and added documentation for 168 API endpoints.• Leveraged Redocly and NSwagStudio to automatically generate API documentation for the application’s API endpoints.• Used C# to modify code to handle PUT and POST operations for JSON data within the model generator framework.• Created a Python script to partition an OpenAPI specification file into 116 files to improve loading performance by 30%.

• Collaborated with the startup founders and engineers in meetings to discuss project priorities and potential challenges.• Wrote unit test cases for the company’s API using Jest, ensuring reliability of the software.

• Enriched data for 130+ institutions with comprehensive online research to fill gaps in disability support services.• Maintained high-quality data for disability support services by utilizing Python and pandas to clean datasets.• Compiled documentation on each program, detailing disabilities, services, eligibility, and contact information

• Created React components to facilitate a user study with 100+ participants, evaluating a Machine Learning Chromeextension’s accuracy in data visualization identification and categorization.• Used JavaScript to refine study design and interview protocols, resulting in improved comprehension of extension usability.• Created a personalized learning web app using Flask, Python, and OpenAI’s NLP to simulate a virtual teacher.