Work Experience

What I've Done

June 2022 - August 2022

Quantitative Strategist Intern, Goldman Sachs

  • Wrangled 8 TB of financial data stored in Hadoop Distributed File System (HDFS) using PySpark and Pandas

  • Leveraged Dash to create an interactive dashboard that remodels and visualizes 12 previously inaccessible datasets, allowing 400+ end users across 2 divisions and 9 teams to conveniently analyze client-level statistics 

  • Utilized Python to implement supervised machine learning techniques (e.g. Logistic Regression, Gradient Tree Boosting) to classify incoming clients as stable or unstable based on their static attributes and time-series investment behavior

February 2022 - May 2022

Software Development Engineer Intern, Amazon Web Services

  • Designed and implemented an AI Operations Bot that automatically triages incoming tickets, analyzes customer impact, links affected resources, and provides on-calls with recommended steps to perform root cause analysis on detected faults

  • Built the system in Native AWS with dependencies on SNS, SQS, Lambda, and Maxis Service (a document-oriented API)

  • Saved 27 hours per month of on-call investigation time, allowing engineers to focus on bug fixes and service improvements

August 2020 - August 2021

Young Academy

  • Pioneered 2 programming courses: Programming Methodology in Java and Data Science Foundations in Python

  • Received 50+ five-star reviews and recommendations on Snapask; became the most-liked (15K) and most-shared (1.2K) instructor profile on an online teaching group of 50K members

  • Organized and led 500+ hours of class sessions, small-group office hours, and individual project consultations

May 2020 - August 2020

Software Engineer Intern, 
Duke University

  • Developed an online quiz application with Flask and PostgreSQL to allow students to answer questions on Python programming concepts, receive immediate feedback, and analyze past performance

  • Generated 35K+ quiz questions since the application was adopted by Duke’s largest introductory Computer Science course; project paper accepted by the 26th ACM conference on Innovation and Technology in Computer Science Education (ITiCSE)

May 2018 - Present

College Admissions Consultant

  • Assisted 10+ clients to gain acceptance and attend one of their top three choice institutions (e.g. Duke, CalTech, Cornell)

  • Accumulated extensive client communication experience through 500+ hours of 1-on-1 consulting


Teaching Experience

What I've Taught

May 2018 - Present

Private Tutor

Students: 20+

Subjects: AP Computer Science, AP Calculus, AP Statistics, Java Programming, Python Programming, SAT, ACT, SAT Math Level 2, Honors Chemistry, Honors Algebra, Honors Precalculus

August 2019 - December 2019

Mathematics Instructor, Durham Literacy Center

Assisted high school drop-outs to earn their General Education Development (GED) diplomas

May 2019 - August 2019

SAT Instructor, Modern English Scholastic Institute

- Instructed SAT and ACT classes of up to 8 students
- Provided 1-on-1 college consulting services