I'm a passionate developer creating beautiful digital experiences with modern technologies. I specialize in full-stack development, 3D graphics, and computer vision!


Engaged in weekly 1:1 mentorship with Google engineers, boosting algorithmic problem-solving speed by 30%.
Meta
Jun. 2025 - Sep. 2025Enhanced CI/CD pipelines for open-source services, improving deployment reliability and reducing build times by 20%.


IPG Health (90 North)
Jun. 2025 - Aug. 2025Designed a computer vision pipeline with the YouTube Data API and Gemini to extract motivators from commercials, cutting ad report turnaround by 35%.
Assurant
Aug. 2024 - Dec. 2024Developed a VSCode Copilot extension with GitHub REST API integration, significantly reducing onboarding time to first commit


Emerald Energy
May. 2024 - Jul. 2024Led a 4-member team developing a LangChain RAG chatbot replacing 200+ hardware manuals, reducing installation time for targetted hardware by 40%.
Classifier for common ASL gestures. We explored how LiDAR depth capture can improve classification accuracy. Using Intel RealSense cameras (L515 and D435), we generated point clouds of users’ poses and classified them to the closest matching ASL gesture.
RemindRx is a tool that helps users stay on top of their medications via scheduled reminders. Using phone or camera images of prescription labels, the system extracts the label text, classifies/structures the dosage instructions, computes optimal consumption times over the day, and sends reminders.
HackHarvard 2024 Smart Cities First Place Winner. We used OpenCV and YOLOv8 to classify shoplifters into 'safe', 'suspicious', or 'dangerous'. Upon discovering a dangerous user, we send a text message via Twilio provide a detailed report as to what was stolen and description of suspect.


