Hello, I'm

Warren Wang

a fledgling programmer with a small variety of software development experiences.

Warren Wang

Work Experience

Software Engineer
Software Engineer

A Normal Company

Company: ?
Period: 06/2025 - Present
Location: Los Angeles, CA
Description

Providing business value to a corporation that needs problems to be solved and decent software to be written. My conscience is pretty light given that this business sells products that do help humans lives. Pays the bills and funds my lifestyle. God I've seen what you've done for others, and now that you have done the same unto me I thank thee.

After School Instructor
After School Instructor

Learn2Code.Live (Whizara)

Company: Whizara
Period: 04/2025 - 06/2025
Location: Los Angeles, CA
Description

Worked part time teaching middle school students (6-8 grade) introductory robotics and programming concepts using Lego Spike PRIME and some of Replit's 100 Days of Python. This was surprisingly challenging. I have gained a deeper appreciation of teachers that work with younger students.

Automation Software Engineer
Automation Software Engineer

Cubework

Company: Cubework
Period: 11/2024 - 03/2025
Location: Walnut, CA
Description

  • Developed and maintained high-performance web automation scripts using Python and Selenium.
  • Achieved 30-400% runtime improvement on internal automation scripts through self-hosted infrastructure optimization.
  • Bootstrapped CI/CD workflows with GitHub Actions and self-hosted runners for internal business dashboard using Django, MySQL, Docker, and React.
  • Developed social media automation solution using LLMs for content generation and engagement, and maintained the company website (Next.js/React/TypeScript).
  • Collaborated in 6-person engineering team using Teams and project management with Notion/Jira
  • Teaching Assistant
    Teaching Assistant

    CSCI311 @ Bucknell University

    Period: 09/2023 - 12/2023
    Location: Lewisburg, PA
    Description

  • Encourage algorithmic thinking and intuition in how algorithms process inputs.
  • Guide students through problem sets with mathematical thinking in correctness and complexity proofs.
  • Grade and provide thoughtful individually tailored feedback on homework problem sets.
  • Modeling & Simulation Engineer Intern
    Modeling & Simulation Engineer Intern

    Science Applications International Corp. (SAIC)

    Company: SAIC
    Period: 06/2023 - 08/2023
    Location: El Segundo, CA
    Description

  • Modeling, simulation, & analysis in support of United States Space Force acquisition decision process. Integrated space mission simulation tools into an automated system-level trade study execution architecture utilizing Ansys/Phoenix ModelCenter
  • Created CLI Python scripts to query space-track.org REST API and ingest into SQLite3 database.
  • Utilized MATLAB's machine learning toolboxes and KNN classifiers to distinguish existence of maneuvers from Two Line Elements (TLEs), orbital elements tabular data.
  • Employed Multi-Disciplinary Analysis Optimization (MDAO) methodology to define and execute an orbital debris remediation trade study. Utilized ModelCenter to implement a weighted objective function to find a system configuration optimized for cost and maneuvering performance.
  • Simulated launch, mission maneuvering, and debris remediation techniques with MATLAB, Python, and Ansys/AGI Systems Toolkit (STK).
  • Provided weekly written status reports and weekly demonstrations of progress to leadership team. Presented final report to company leadership and USSF customer.
  • Utilized Agile Kanban and Atlassian Jira for all task assignments, wrote extensive documentation on Atlassian Confluence, and communicated via Microsoft Teams.
  • Research Assistant
    Research Assistant

    Tutelage under Prof. Joshua Stough at Bucknell University

    Period: 05/2022 - 08/2022
    Location: Lewisburg, PA
    Description

  • Enhanced a data pipeline for post-processing deep learning model outputs, successfully calculated ejection fraction (EF) and global longitudinal strain (GLS) from echocardiograms in a Python (NumPy, PyTorch, etc.) multi-GPU Linux environment.
  • Analyzed echocardiographic data from 1065 patients, achieving a correlation of r=0.54 for EF estimation, demonstrated the effectiveness of the convolutional model in large-scale clinical applications.
  • The code, which is admittedly messy, unorganized, and not up the standard I would ever, ever push to any production system, can be found here on my github.
  • Math Tutor
    Math Tutor

    Calculus II and III

    Period: 01/2022 - 05/2022
    Location: Lewisburg, PA
    Description

  • Held weekly 2 hour open tutoring slots.
  • Encouraged autodidacticism and inquisitiveness of students to approach problems from different angles.
  • Helped students to understand course material at their own individual conceptual level.
  • Education

    Bucknell University
    Bucknell University

    B.S. in Computer Science and Engineering

    Duration: 08/2020 - 05/2024
    Location: Lewisburg, PA