I’m an Honors Computer Science and Mathematics student at Purdue
University. My work includes telehealth applications, machine learning,
and numerical software for photon detection and seismic analysis.
Education
Honors B.S., Computer Science & Mathematics John Martinson
Honors College
Data Structures & Algorithms, Computer Architecture, Programming
in C, Systems Programming, Data Mining & Machine Learning, Web Information
Search & Management, Probability & Statistics, Linear Algebra,
Real Analysis, and Ordinary Differential Equations.
Selected work
02 / Projects
~/work/the-peer-network2026
Mobile development · May 2026–present
The Peer Network
A React Native app for scheduling appointments and video sessions with
licensed peer counselors. I worked on its iOS and Android releases,
Amazon Chime integration, and Cronofy booking.
Booking and video use separate network connections.
900+users
iOS + Androidplatforms
34%increase in appointment rebooking
02 / Scientific computingJan 2026 — Present
Finmath
A Python package published on PyPI with Purdue’s Boiler Quant club. I implemented C++ time-series tools, Black–Scholes pricing, and binomial-tree pricing, with Python bindings through pybind11.
In Professor Sotiris Nousias’s group, developed a Python and NumPy simulation of single-photon detection with a browser interface. The model includes photon arrivals, detection efficiency, dark counts, dead time, timing jitter, and picosecond timestamp quantization.
Applied Fourier analysis to the simulated timestamps. Numerical tests check photon statistics and spectral peaks under sparse signals, aliasing, detector saturation, and pulse trains.
May 2026 — PresentMobile development
The Peer Network
Mobile App Developer
Worked on an eight-person engineering and design team to develop and release a React Native telehealth app on iOS and Android. The app served 900+ users, with a 34% increase in appointment rebooking.
Integrated Amazon Chime for video sessions between licensed peer counselors and patients, supporting the platform’s HIPAA and SOC 2 requirements. Implemented booking through Cronofy with mutex locks to prevent concurrent requests from booking the same slot.
Led work on an Electron interface for SeisGo, a Python seismic-analysis package. Analysis time was 34% lower than with the lab’s Jupyter workflow.
Added Fourier-series analysis to SeisGo, which is distributed through PyPI.
May — Aug 2026Research
Stesso AI
Undergraduate AI Researcher
Developed a search pipeline for 1,663 instructional clips from 250 videos. Compared TF-IDF, matching over action, object, tool, and supply fields, and hybrid ranking through blinded relevance tests.
Used OpenCV and PyTorch to classify home-inspection photos by repair category. The classifier reached 83% test accuracy on Kaggle data.
Changed a video-generation API workflow to use 16% fewer tokens while retaining output quality and reducing inference costs.
Jun 2024 — Aug 2025Research
University of Pennsylvania
Research Intern · Perelman School of Medicine
Analyzed 500,000+ emergency-room cases across 20 years of records in Professor Chamith Rajapakse’s lab. Trained a PyTorch/Keras network to estimate bone-fracture risk from environmental and movement features.
Mobility tracking & poster
Developed an Arduino/C++ device to measure mobility for physical-therapy assessment. Co-authored a poster accepted for presentation at the 2025 New England ACSM conference.
