Education
Brown University
Expected May 2028
Providence, RI
B.A. in Computer Science and Spanish ยท GPA 3.7
Relevant Coursework: Linear Algebra, Probability and Statistics, Discrete Mathematics, Data Structures and Algorithms, Multivariable Calculus, Machine Learning
Work Experience
Software Engineer Intern
Built a video pre-processing and quality inspection pipeline in Python and OpenCV that screens robot-training footage for blur, brightness, contrast, and occlusion, processing 60 hours of footage and flagging 12% of frames as unusable before they reached the pose estimation models
Diagnosed a silent H.264 codec failure that was corrupting 8% of video exports, and built a validation and fallback encoding system that eliminated the failure mode across the team's annotated video output
Authored handoff documentation and delivered technical walkthroughs that integrated the quality-flagging service into the company's live robotics data pipeline
Founder
Ran technical AI audits for early-stage businesses and delivered opportunity briefs scoping where automation yielded over $10,000 in measurable time and cost savings
Build and ship production automations using Claude Code and Cursor for agentic development, integrating LLM APIs, MCP servers, and RAG pipelines into client workflows
Software Engineer Intern
Reeka is an Antler-backed prop-tech startup building property management infrastructure for emerging markets, currently serving 250+ properties across Nigeria and Ghana.
Built a two-way calendar and pricing synchronization service against the Airbnb and Booking.com REST APIs in JavaScript, reconciling conflicting updates across both platforms on a 15-minute sync interval to eliminate double-bookings
Engineered a direct booking engine with integrated payment processing, adopted by 50+ property managers to route reservations through their own sites and bypass third-party commission fees
Built the analytics and reporting module in SQL, surfacing occupancy and revenue trends across client property portfolios
Undergraduate Researcher
Built dataset labeling and annotation tooling in Python across 3 interdisciplinary research teams under Prof. David Jeong, improving model evaluation accuracy by 9% on a 5,000-sample dataset
Designed and implemented a VR research study environment in Unity and C#, integrating real-time physics-based interaction and haptic feedback for 40 study participants
Analyzed behavioral and biometric data from the VR experiments in Python; supporting work contributed to publications accepted at CVPR and AAAI
Projects
Next.js, TypeScript, Node.js
Developed a full-stack desktop cleanup tool with a swipe-based file sorting interface, calling an LLM through the OpenRouter REST API to generate summaries of PDF, DOCX, and CSV files.
Python, OpenCV, YOLO, Roboflow
Built a computer vision system that tracks basketball trajectories and predicts scoring outcomes from unmodified video, training a YOLO-based detector on a 2,400-image annotated dataset in Google Colab to reach 91% detection accuracy at 30 FPS.
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, C/C++, Java, JavaScript, TypeScript, SQL, C#
Libraries and Tools:
OpenCV, PyTorch, NumPy, Pandas, Git, Docker, Next.js, Node.js, Unity, PostgreSQL