• Selected from 3000+ applicants for the Break Through Tech AI Program at Cornell Tech.

• Developed foundational skills in Machine Learning (ML) and Artificial Intelligence (AI) using industry-relevant tools.

• Participating in a 12-month program including machine learning coursework taught by Cornell faculty, hands-on AI projects, and mentorship from industry professionals.

• Working in a team to build industry-related AI projects in collaboration with industry advisors.

• Matched with Michael J. Fox Foundation to tackle a real-world ML Challenge Project by applying ML/AI knowledge.

• Optimized the auto-matching algorithm by implementing AWS Lambda functions in Python, improving match accuracy and enhancing user experience, leading to increased customer retention

• Automated cohort creation workflows for new mentorship programs using Python and AWS Lambda, improving operational productivity by 50% and enabling scalable, structured user data storage in AWS DynamoDB.

• Built a dynamic frontend form using HTML, CSS, and JavaScript to connect with Amazon API Gateway, triggering AWS Lambda functions and efficiently storing user-submitted data in AWS DynamoDB.

• Executed 10+ club events every quarter such as social events and technical workshops for 50+ club members.

• Contributed to the planning of the annual hackathon, Hack for Humanity, by helping with advertising, mentor outreach, and workshop planning to reach a total of 300+ students.

• Led a program and taught female middle school and high school students how to code in Scratch and Python.

• Reached out to 15 middle and high schools through advertising, emailing, and in-person sessions.

• Oversaw a board of 8 people and helped planned board meetings and lesson plans.

• Conducted weekly coding sessions for middle school girls, focusing on Scratch and Python.

• Collaborated with a team of 8 to organize and execute weekly tutoring events.

• Acted as the primary contact for parents, ensuring clear communication regarding class lessons and announcements.