Electrical & computer engineering student at Olin College. I build embedded systems, flight hardware and the tools around them. Needham and Boston, MA. Olin College of Engineering, class of 2029.
Now. Just finished a summer as an Electrical Engineering Intern in SLS & Materials R&D at Formlabs. Building the Autonomous Swarm and Canopy, telemetry for the Olin Baja car.
Selected work
A four-vehicle autonomous drone swarm project, built in two stages: a single physical quadrotor (custom SLS/SLA-printed frame, offboard perception, PX4 flight stack) and a four-vehicle swarm coordination layer, currently proven out in Isaac Sim while the other three airframes are funded.
Other work
| Year | Project | What it is |
|---|---|---|
| 2025 | Curator | Curator is a portfolio documentation orchestrator that crawls your GitHub repos, asks targeted follow-up questions, and generates rich project writeups via the OpenAI Responses API. |
| 2025 | Binaric | Audio-based data transmission protocol that turns files and messages into structured tone sequences, inspired by dial‑up but built for modern devices. |
| 2025 | Exotic Produce Packing Optimization | MATLAB-based modeling and simulation of optimal packing for three categories of exotic produce under spatial and combinatorial constraints. |
| 2025 | Limen | A SwiftUI iOS client for orchestrating AI assistant "sessions" that send user queries to a configurable backend and render dynamic responses. |
| 2025 | C Boids | High-performance Boids flocking simulation in C++ and SFML, rendering 1,000 agents navigating a 2D space with wrap-around boundaries. |
| 2025 | Plonk Pigeonholing | A comparative study of classical TF-IDF and transformer-based approaches for wine variety classification, exploring the tradeoffs between interpretability and performance in domain-specific text analysis. |
| 2024 | Bragi | An immersive Spanish learning platform using Quest 3 XR to overlay vocabulary flashcards on real-world objects, with Google Cloud TTS/STT for pronunciation training and YOLOv5 object detection for contextual language learning. |
| 2024 | Radar Calibration Automation | An internal calibration automation project focused on phased-array radar systems. |
Experience
- 2026.03–2026.08Somerville, MA
Formlabs
Electrical Engineering Intern, SLS & Materials R&D
- Powder-bed defect detection: GPU computer vision and a ResNet-18 classifier, taken from binary to a nine-class taxonomy with severity ranking.
- Heater fault detection built from first principles; false positives from 9% to 0% by addressing PWM phase jitter.
- Automated filter-swap characterization, producing a continuous pressure-flow surface and a virtual flow sensor.
- Dielectric cure monitoring (PyQt6, VISA, SSH): ~40 Hz transients across 300+ runs, correlated with FTIR.
- Browser-based lifetime test runner with acoustic detection, used for five qualification campaigns.
- 2024–2025Cambridge, MA
Cherish Health
Engineering
Automated phased-array radar calibration through an FPGA-controlled workflow; radar data comparison and annotation tooling; an alternate LED supplier that cut BOM cost 5%.
- OngoingOlin College
- Summer 2023Cambridge, MA
MIT Strano Group
Lab assistant, HIP-SAT
Graphene additives in phase change materials; presented at two symposia.
- 2022–2023
Cherish Health
ML intern
Detection models and data collection tooling in Python and TensorFlow; technical demos for the Series A.
- Expected 2029.05
Olin College of Engineering
B.S. Engineering (ECE), expected May 2029. Before that, NuVu Innovation School, 2020–2024.
- Languages
- Python, C, C++, MATLAB, SQL, JavaScript
- ML / CV
- PyTorch, OpenCV, Kornia, scikit-learn, TensorFlow
- Hardware
- KiCad, Altium, PyVISA, nRF52, STM32, CAN, PX4/MAVLink, thermal imaging
- Tools
- SolidWorks, Fusion 360, Blender, Docker, Linux, Grafana, FastAPI