hi , i am
andrew
wang .

CS student and Software Engineer

download resume

about me

I am a motivated computer science student at the University of Maryland with a 4.0 GPA. I have a deep interest in learning about both emerging and established computer technologies.

Extensive coursework and hands-on projects in systems programming, database applications, machine learning, and web development using the MERN stack. Demonstrated ability to undertake sizable group projects. Experience as a Teaching Assistant and Undergraduate Researcher has honed skills in academic support, research, and collaboration.

education

2022 - 2026

B.S in computer Science, minor in Statistics

university of maryland, college park

MD, USA

GPA: 4.0/4.0

GRE: 170Q/161V/5.0W

Relevant Courses: Machine Learning, Database Design, Database System Architecture and Implementation, Operating Systems, Design and Analysis of Computer Algorithms, Probability Theory, Theory and Methods of Statistics, Introduction to Data Science

2018 - 2022

high school diploma

mountain view high school, mountain view

CA, USA

GPA: 4.68

SAT score of 1580/1600

skills

Languages: Go, Python, JavaScript, C, Java, SQL, MATLAB

Tools & Frameworks: Thrift, Protobuf, GORM, Kitex, Node.js, Express.js, React.js, Docker

Data Science and Machine Learning: PyTorch, LangChain, pandas, scikit-learn, NumPy, Matplotlib

Databases: PostgreSQL, MySQL, MongoDB, Qdrant

experience

  • May 2025 - August 2025

    backend software engineer intern

    Global E-Commerce Infrastructure, ByteDance

    bellevue, washington

    Developed the internal Journey Builder UI (React) to streamline configuration of onboarding flows for 250K+ monthly new TikTok Shop creators. Enhanced backend features and built a metrics endpoint (Go, GORM, Kitex, and MySQL). Deployed services via ByteDance’s internal CI/CD pipelines and resolved infrastructure issues with the netlink team.

  • February 2025 - May 2025

    undergraduate student researcher

    cs department, university of maryland (Dr. Deshpande)

    college park, maryland

    Investigated sampling techniques for estimating aggregate queries with expensive predicates evaluated by large language models (LLMs). Designed and benchmarked an importance sampling technique against existing stratified sampling methods.

  • September 2023 - May 2024

    teaching assistant

    cs department, university of maryland

    college park, maryland

    Assist in teaching CMSC216 - Introduction to Computer Systems and CMSC132 - Object-Oriented Programming. Conduct office hours to help students with programming assignments and course topics, proctor exams, and grade assignments.

  • June 2023 - August 2023

    ride operator

    California's Great America

    santa clara, california

    Ensured safe operations of the ride. Enforced ride restrictions and recommendations. Assisted with loading and unloading rides, including small children and guests with disabilities.

  • August 2022 - May 2023

    undergraduate student researcher

    First-Year Innovation and Research Experience (FIRE), University of Maryland

    college park, maryland

    Engaged in Genome Computing research. Used PyMOL, Python, and its libraries, including NumPy, pandas, and Matplotlib, to visualize and analyze DNA-protein interactions.

personal projects

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Fannie Mae Loan Solution (Bitcamp 2023)
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MoneyWatcher: a web application to monitor personal spending
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Doodles and Character Classifier

academic projects

Wiki Chatbot: Worked in a six-person team to convert the University of Maryland Institute for Advanced Computer Studies (UMIACS) Wiki into a chatbot, automating responses to frequent support tickets.

Gitlet: Wrote a Git-like version control system in Java. Developed core operations such as add, commit, and branch.

OCaml Interpreter: Created an interactive interpreter(including the lexer, parser, and evaluator), for a subset of the OCaml language.

Racket Compiler: Given a compiler written in Racket that translates a subset of Racket into x86, implemented multiple return values, a key feature of Racket.

Document Manager: Developed a document manager and its command line interface in C. The program supports user operations such as text insertion, deletion, search, and replacement.

Machine Learning: Implemented various machine learning methods and algorithms (using NumPy) including neural networks with different sizes and layers, K nearest neighbors, binary decision trees and principal component analysis.

Shell: Implemented a shell program in C that supports boolean operations, pipes, and file redirection.

linkedin
linkedin
github
github
AWANG22@TERPMAIL.UMD.EDU
AWANG22@TERPMAIL.UMD.EDU
website
website