Tommy Lin

Tommy Lin

Software Developer in New York City, He/Him/His

About

Click to Download Resume (Last Updated: 7/30/24)

Education

2020 — 2024
Bachelor of Science at Stony Brook University
Stony Brook, New York
  • Major in Computer Science

  • Major in Applied Mathematics & Statistics

  • Specialization in Artificial Intelligence and Data Science

Work Experience

2024 — Now
Freelance Web Developer at Freelancer
New York, New York
  • Designed and developed websites for small businesses using web development frameworks.

  • Integrated existing technologies and APIs to improve website functionality.

  • Built websites that are responsive and user-friendly for enhanced user experience.

2021 — 2023
Student Technologist at DoIT Academic Technologies at Stony Brook University
Stony Brook, New York
  • Contributed in one of the university's largest projects in moving to a new learning management system.

  • Assisted students and faculty with technology-related issues with services that the university provides through

    phone, ticketing system, and live chat.

  • Conducted and facilitated numerous technology workshops for students and staff.

2020 — 2021
Computing Department Sales Advisor at Best Buy
Brooklyn, New York
  • Collaboratively assisted the sales manager in implementing sales strategies and surpassing overall financial performance targets every quarter.

  • Selected as one of the two seasonal employees (out of 50) to be offered a continuing position at the end of the seasonal period.

Projects

2023

Role: Product Manager & User Interface Designer

  • Managed a 4-person team and delegated tasks efficiently to optimize productivity through monday.com.

  • Adhered the front end closely to Material UI (MUI) design standards to create a seamless and consistent user interface.

  • Conducted weekly meetings with the customer (TA) to gather requirements and provide progress updates.

2023

Role: Contributor

  • Predicted and analyzed results from machine learning models, like linear regression, gradient boosting, and random forest.

  • Utilized Python libraries, such as, NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn.

Contact

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