Education
Brown University
Providence, RISc.B. Computer Engineering / Spanish Certificate of Intercultural Competence
GPA 4.0
Santa Clara University
Santa Clara, CAB.A. Computer Science
GPA 3.7
Work Experience
Intern
Reeka is an Antler-backed prop-tech startup building property management infrastructure for emerging markets, currently serving 250+ properties across Nigeria and Ghana.
Integrated Airbnb and Booking.com APIs to power a two-way calendar and pricing sync system, reducing double-booking incidents for clients by 40% and keeping availability data accurate across 3+ platforms in real time
Built and refined a direct booking engine with integrated payment processing, helping 50+ property managers cut third-party commission costs by routing 20% more bookings through their own sites
Contributed to the analytics and reporting module, enabling clients to track occupancy rates and revenue trends across portfolios of up to 25 properties, leading to a 15% average increase in reported occupancy
Undergraduate Researcher
Collaborated on 3 interdisciplinary research teams developing dataset labeling and annotation pieces of model evaluation pipelines in Python improving model accuracy by 30%
Designed and built a VR research game in Unity to promote body positivity, integrated real-time physics-based interactions and haptic feedback system. Tested by 50+ participants, increasing engagement duration by 25% on average
Collaborated on research projects accepted to premier AI conferences (CVPR and AAAI); results recognized for research excellence
Projects
Next.js, TypeScript, Node.js, OpenRouter
Developed a full-stack desktop organization tool that utilizes a "swipe-to-sort" interface for file management, automating cleanup via generated macOS terminal commands. Integrated OpenRouter API (Elephant Alpha) to generate AI-powered file summaries by recursively parsing and extracting metadata from PDF, DOCX, and CSV formats.
Python, OpenCV
Developed a computer vision system to track basketball shots using OpenCV color detection and a YOLO-based hoop detector, achieving 92% tracking accuracy across 1,000+ video frames. Modeled shot trajectories with polynomial regression to predict scoring outcomes with 85% accuracy. Trained and deployed models using Google Colab and Roboflow for dataset management and augmentation.
Python, Matplotlib, Seaborn
Analyzed engagement data from CVPR-published study (5,000+ participant interactions) to investigate gender-based behavioral differences. Processed and filtered datasets with Python and Pandas, visualized top engagement patterns using Matplotlib and Seaborn, and ran t-tests revealing statistically significant gender differences in interaction frequency.
Technical Skills
Languages:
Python, Java, C, C++, JavaScript, Swift
Technologies/Frameworks:
Linux, GitHub, ReactJS, Git, Flutter