Robotics Team Captain
I assemble, coach, and manage a team of high school students through robot design, engineering, and competition. My technical work includes robot programming, sensor integration, and autonomous systems.
01 / Background
Building products.
Leading teams.
Teaching others.
I assemble, coach, and manage a team of high school students through robot design, engineering, and competition. My technical work includes robot programming, sensor integration, and autonomous systems.
I explore how hardware and software can work together through embedded systems and applied artificial intelligence, including research into running machine learning models locally on microcontrollers.
Across research and engineering projects, I work with Arduino, TinyML, GPS, LoRa, Java, and Python.
Explore my microcontroller research →Founder, designer, and developer responsible for shaping the product from concept through execution.
Scotch Plains, New Jersey
Teaching swim instruction and water-safety skills to community members.
Scotch Plains, New Jersey
Supporting facility safety with training in lifeguarding, first aid, and CPR/AED.
Assisted with lessons, technique development, and student water confidence.
May 2026–Present
Scotch Plains-Fanwood, New Jersey
I plan and lead free workshops where younger students explore coding, LEGO engineering, Snap Circuits, and science. I work with Event Manager Letizia Lavelli to organize sessions and make hands-on STEM learning more accessible.
Stats checked . Attendance totals count each workshop visit, including repeat attendees.
Colonia · Henry Inman Branch Library
A free, hands-on electricity and engineering workshop for children ages 7–13 at Henry Inman Branch Library in Colonia. Students use snap-together components to build working circuits and explore the technology behind everyday devices.
Fanwood Memorial Library
Students designed and built towers with marshmallows, spaghetti, and toothpicks. They explored geometry, balance, and stability, then measured their towers and refined their designs through testing.
Students designed buildings, bridges, roads, parks, and neighborhoods, then combined their projects into one collaborative LEGO city. They explored urban planning, transportation, balance, stability, and sustainable design.
Young learners used Scratch to build interactive stories, games, and animations while learning coding fundamentals in a collaborative setting.











Students designed, built, and tested LEGO bridges while exploring strength, balance, structural design, creativity, and teamwork.
Young engineers followed the process: Imagine → Plan → Create → Experiment → Improve.








Students explored the basics of electricity through mini challenges, then worked in groups to build projects with lights, switches, motors, speakers, and fans.





Help young swimmers build their technique, confidence, and overall swimming skills.
Tutoring children seeking refuge in the United States and helping strengthen their English and Math skills.
02 / Learning
September 2024–June 2028 · High School Junior
June 2026–July 2026
July 2025
03 / Credentials
Inspirit AI
Issued June 2025
Unity
Issued June 2025
View credential ↗Unity
Issued June 2025
View credential ↗American Red Cross
Issued March 2025 · Expires March 2027
View credential ↗Georgia Institute of Technology
Issued February 2025
View credential ↗American Red Cross
Issued November 2024 · Expires November 2026
View credential ↗04 / Selected work
Software and engineering,
from concept to execution.

Weather,
made simple.
The Real Temp turns a complicated weather report into a clear picture of what it actually feels like outside—and what matters next. I founded, designed, and developed the product from its first idea through its live web experience.
Explore the live appHow it works
Built around the user
Engineering
what’s next.
An autonomous robot concept designed to identify roadway cracks and apply sealant. The goal is to address cracks before water intrusion and winter freeze-thaw cycles can worsen them into potholes.
Machine learning,
on a smaller scale.
A research paper exploring how machine learning models can run locally on microcontroller hardware. The study presents an applied approach to deploying these models and examines opportunities for TinyML in healthcare, smart agriculture, and industrial predictive maintenance, alongside the need for open-source datasets and standardized benchmarks.
View research on LinkedIn