Optics and photonics engineer with published research in optoelectronic device characterization. Developing practical AI-driven applications for iOS and the web.


Bonding micron-scale III-V laser dies to silicon using silver epoxy. Wall-plug efficiencies up to 20%, infrared output above 10 mW, and a modest efficiency reduction from 14.9% to 14.2% post-bonding.
Literature review covering 100+ papers on solid-state LiDAR principles, metasurface-based LiDAR sensors, and recent advances in beam steering, phase shift, and field of view.
Upcoming presentation at the Conference on Lasers and Electro-Optics.


Presented at the Harvard National Collegiate Research Conference.

Presented at the University of Arizona Winter School.
Fiber coupling techniques for efficient laser diode characterization.
National Conference on Undergraduate Research.
Massachusetts statewide undergraduate research conference.
Workspace MVP is an AI-powered productivity platform that combines the flexibility of a freeform canvas with the structure of spreadsheets and the intelligence of natural language AI. It's designed for individuals and small teams who need a single environment to organize information, run calculations, and take action — all through conversation.
Rather than switching between a notes app, a spreadsheet, and a chat interface, Workspace brings everything into one unified space where blocks of content live on an infinite canvas and can be manipulated by AI or by hand.
History Legends is an educational RPG-style quiz game designed to make studying AP United States History engaging and effective. The game covers all 7 APUSH eras with over 345 carefully balanced questions, organized across 40 nodes on a progression map. Players advance through historical eras, earn experience, and unlock new content as they master the material.
The game features custom sprite art for each era, generated through a combination of Leonardo.ai for image-to-image processing and Gemini for text-to-image generation, followed by a Python cleanup pipeline for background removal and consistent sizing.


StockFlow is a cross-platform inventory management application built for construction companies and field teams who need to track materials, tools, and supplies across job sites. The app runs on both iOS and web, giving office managers and on-site workers a shared real-time view of inventory levels, movements, and usage history.
Designed around the daily workflows of construction operations, StockFlow replaces clipboard-and-spreadsheet tracking with barcode scanning, real-time sync, and role-based access — reducing errors, preventing stockouts, and saving hours of manual data entry every week.
Built and optimized optical breadboard test setups. Characterized PIC structures including MZIs, edge couplers, and spirals. Developed Python and MATLAB scripts for data processing.
IV, LIV, and optical spectrum characterization of DFB and Fabry-Perot laser diodes. Honors thesis on III-V laser diodes on silicon. Supported by Adrian Tinsley Grant.
PIC and QPIC characterization, heterodyne detection, sustainable manufacturing. Python scripts for data analysis across multiple grant-funded efforts.
TA for General Physics I. Assisted students, taught sessions, held office hours.