Hewlett Packard Enterprises, San Jose, CA · Jul 2022 – Apr 2025
Built shared Python/PyTest utilities adopted by 15 engineers, reducing overall script length by ~40% and improving test workflows.
Developed automated simulation test cases to identify defects and validate system limits across varied scenarios.
Integrated test automation into CI pipelines and improved failure triage by adding structured logging and clearer assertions.
Teaching Assistant
Texas A&M, College Station, TX · Aug 2025 – Present
Taught weekly lab sections for ~60 students, guiding them in Unreal Engine and building gameplay features using Blueprint scripting.
Provided hands-on technical support (debugging Blueprint graphs, actors/components, gameplay events), helping teams reach milestone deliverables and playable prototypes.
Graded assignments/projects for 60 students using a rubric, delivering feedback on gameplay functionality, Blueprint logic quality, and completion.
Intern Co-op
Hewlett Packard Enterprises, San Jose, CA · May 2021 – May 2022
Created a GUI tool used by 300+ employees to perform CLI-based workflows more efficiently.
Software Engineer
Neighbor Marketing, Remote, New York · Apr 2020 – Jun 2020
Led a team of 4 to build a property reviews web product using React/JavaScript; integrated Google APIs, Firebase auth, and automated email tooling.
Education
Master of Science in Visualization
Texas A&M, College Station, TX Expected: May 2027
Bachelor of Arts, Computer Science and Data Science / Minor: Math
Augustana University, Sioux Falls, SD May 2022 · GPA: 3.52 / 4.00
Skills & Interests
Programming Languages
C++PythonJavaReactJavaScriptSwiftHTML/CSS
Engines & Tools
Unreal EngineUnityHoudiniPyTorchOpenCVDockerGit
Interests
Deep LearningReinforcement LearningFootballDrawingPhotographyVideography
Projects
AR/Game Projects (Coursework)
Aug 2025 – Present
Built 3 interactive prototypes, including ScavengAR Hunt (AR scavenger hunt with staged progression) and Animal vs. Human, focusing on complete gameplay loops from setup to interaction to completion.
Implemented core game systems such as state-based progression, spawning/triggers, UI prompts, and interaction logic using Unity + AR stack (Vuforia/AR Foundation as applicable).
Iterated through playtests to debug tracking/interaction issues, refine UX clarity, and improve reliability/performance across builds.
Sanford Health Hack, Runner Up — Health Memo (Team Lead/App Developer)
Sep 2022 – Oct 2022
Earned Second place and people's choice award out of 20 teams, winning a total of $9,000 prize.
Pitched a business plan and prototyped an iOS app that helped to keep logs of users' health.
Prototyped app using Swift, Parse, and Google API — embedded Google's Text-to-Speech and Speech-to-Text features.
GAN — Generative Adversarial Network
Oct 2023 – Aug 2025
Reproduced and experimented with GAN architectures (CycleGAN, StyleGAN, DCGAN, SRGAN) using PyTorch/OpenCV, exploring edge/structure-preserving outputs.
Sanford Health Hack Runner Up — Pill Buddy (Team Lead)
Sep 2019 – Oct 2019
Developed mobile application and presented product pitch, earned second place out of 12 teams, and won prize pool of $7,000.
Designed a user-friendly interface that allows 5,000+ elderly Sanford patients to check their drug interactions to prevent overdose.
Leadership & Affiliations
Conference Volunteer
ACM SIGGRAPH 2024, Denver, CO · Jul 2024 – Aug 2024
Communication Director
Augustana Student Association, Sioux Falls, SD · Aug 2019 – May 2020
Professional Experience
Teaching Assistant
Texas A&M, College Station, TX · Aug 2025 – Present
Taught weekly lab sections for ~60 students, guiding them in Unreal Engine and building gameplay features using Blueprint scripting.
Provided hands-on technical support (debugging Blueprint graphs, actors/components, gameplay events), helping teams reach milestone deliverables and playable prototypes.
Graded assignments/projects for 60 students using a rubric, delivering feedback on gameplay functionality, Blueprint logic quality, and completion.
System Software Engineer
Hewlett Packard Enterprises, San Jose, CA · Jul 2022 – Apr 2025
Implemented robust functions leveraged by 15 team members that cut the general lengths of scripts by 40% using Python, Pytest.
Worked on system simulation project — defining, identifying defects and pushing the limit of the system with different test cases and automations.
Software Engineer (Intern Co-op)
Hewlett Packard Enterprises, San Jose, CA · May 2021 – May 2022
Created a user-friendly GUI that facilitated more than 300 employees in executing specific CLI-based tasks efficiently.
Enhanced web app UI by applying Python, Django, MongoDB, Celery, and Elasticsearch, resulting in the successful achievement of project objectives.
Software Engineer
Neighbor Marketing, Remote, New York · Apr 2020 – Jun 2020
Led a team of 4 to design and develop a property reviews website to impact 250,000+ people using React, JavaScript, and other relevant tools.
Implemented Google API to support location/auto-completion, Firebase authentication for profiles, and Mailchimp for automated emails.
Education
Master of Science in Visualization
Texas A&M, College Station, TX May 2027
Bachelor of Arts, Computer Science and Data Science / Minor: Math
Augustana University, Sioux Falls, SD May 2022 · GPA: 3.52 / 4.00
Deep LearningReinforcement LearningDrawing/PaintingFootballPhotographyVideography
Projects
AR/Game Projects (Coursework)
Aug 2025 – Present
Built 3 interactive prototypes, including ScavengAR Hunt and Animal vs. Human, focusing on complete gameplay loops from setup to interaction to completion.
Implemented core game systems such as state-based progression, spawning/triggers, UI prompts, and interaction logic using Unity + AR stack (Vuforia/AR Foundation).
Iterated through playtests to debug tracking/interaction issues, refine UX clarity, and improve reliability/performance across builds.
GAN — Generative Adversarial Network
Oct 2023 – Aug 2025
Learning and reproducing different GAN papers: CycleGAN, StyleGAN, DCGAN, SRGAN.
Tried achieving similar result as Canny edge detector using GAN models with OpenCV, PyTorch.
Sanford Health Hack, Runner Up — Health Memo (Team Lead/App Developer)
Sep 2022 – Oct 2022
Pitched a business plan and prototyped an iOS app that helped to keep logs of users' health.
Earned Second place and people's choice award out of 20 teams, winning total of $9,000 prize.
Prototyped app using Swift, Parse, and Google API — embedded Google's Text-to-Speech and Speech-to-Text features.
Twitter Clone, CodePath Project (iOS App)
Oct 2020
Created a clone of Twitter using Swift, Storyboard where users could login and stay connected without losing credentials and tweets.
Implemented features like retweeting, favoriting a tweet, and infinite scrolling for a better user experience.
Sanford Health Hack Runner Up — Pill Buddy (Team Lead)
Sep 2019 – Oct 2019
Developed mobile application and presented product pitch, earned second place out of 12 teams, and won prize pool of $7,000.
Designed a user-friendly interface that allowed 5,000+ elderly Sanford patients to check their drug interactions to prevent overdose.
Leadership & Affiliations
Conference Volunteer
ACM SIGGRAPH 2024, Denver, CO · Jul 2024 – Aug 2024
Supported conference operations by assisting attendees and staff across high-traffic areas, ensuring smooth day-to-day flow.
Communicated clearly with diverse attendees and organizers to resolve issues quickly and keep activities running on schedule.
Gained exposure to current industry/research directions in computer graphics, games, and interactive tech through on-site programming and demos.
Communication Director
Augustana Student Association, Sioux Falls, SD · Aug 2019 – May 2020
Led team of 6 responsible for conducting Transparency and increasing the visibility of 100+ clubs.
Improved the overall experience of students and updated the Association website.
Organized 2019 Senate election with a successful participant count of 30+ students.
Certificates
Deep Learning Specialization (Coursera)
Sequence Models — Mar 8, 2023
Convolutional Neural Networks — Feb 11, 2023
Structuring Machine Learning Projects — Jan 6, 2023
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization — Oct 19, 2022