Kyle Zhang

kyle100@wharton.upenn.edu | https://github.com/RiptideStar | http://RiptideStar.com | https://www.linkedin.com/in/ZhangKyle/


Carenostics, Philadelphia, PA. Product Development Intern May 2023 – August 2023

Irrational Capital, Philadelphia, PA. ML and Quantitative Research Intern May 2023 – August 2023

Co-Founder & Full Stack Developer, Valorant Web Service https://LineupsValorant.com/, July 2021 - Present

UPenn / Wharton Experiences - August 2022 - Present

DECODE 2022 Technology and Innovation Conference - Program Director, May 2022 - Present

Quant & Strategy Development Intern, WaterValley Capital Management, April - September 2021

WaterValley is a quant hedge fund in HongKong. Trading future contracts and calculating trends in securities markets demands sophisticated algorithms and AI. As an intern on their small exceptional research team, I learned tremendously and was able to accomplish a lot -

Technology Instructor, ITeach-ILearn & CFAP Youth Council, May 2020 to August 2022

Designed three online technology courses with hands-on projects. Taught 180+ students thru online classes offered by ITeach-ILearn & CFAP Youth Council, two non-profit organizations for fostering leadership and technology interests in the youth. (https://github.com/RiptideStar/2021SummerTechClasses)

Initiator & Developer, Covid19 Vaccine Finder website http://vaccine19.us/, April 2021

Research Intern, Nan Cancer Research Lab at Oregon Health & Science University (OHSU), June - Sept. 2019

Software Lead, FTC Robotics Team (Fellowship of the Robot), Sept. 2018 - Mar. 2020

Software Lead, Destination Imagination Team, Sept. 2015 - May 2016

Leadership and Services

Advanced Technical Skills

Python, Java, C++, C#, JavaScript, Linux Shell, SQL, OCaml
AI, Machine Learning, Neural Network, TensorFlow, Keras, Selenium / WebDriver
VS Code, MS Visual Studio, MATLAB, PyCharm, OpenCV, Git/GitHub, Unity, Unreal


University of Pennsylvania, Jerome Fisher M&T Dual Degree Program, 2022-2026

BS in Economics, The Wharton School
MS in Computer Science, PennEngineering

Lake Oswego High School, Lake Oswego, OR. May 2022

Weighted GPA: 4.47, Unweighted GPA: 4.0

Computer Science, Portland Community College, OR, 2019 - present

CS140, CS160, CS161, CS162, CS179, CS233, CS250, CIS284, CS260, CIS275, EC201, EC202, MTH261
GPA: 3.92

Robotics and Quantum Computing by Prof Perkowski at Portland State University, OR 2020

Machine Learning, Online Class by Andrew Ng, Stanford University, 2020

My Awards

My Websites

My Hobbies