I build things that are meant to last. I start with the person who has to use what I build: their constraints, their context, and what should become easier for them. That shapes the whole system, from the model and the backend to the smallest interaction. For me, human-centered design is an engineering decision. It determines what I build, what I measure, and whether the result is useful beyond a demo.
I am a Computer Science student at Binghamton University’s Thomas J. Watson College of Engineering and Applied Science, graduating in May 2028, and at present the AWS Student Builder Campus Leader and a Community Assistant there. My work runs across Python, TypeScript, Swift, and large language model integration; my research background is in computer vision and ASL recognition. I care about how systems fit together, how small decisions compound over time, and how technology can create access for people who do not otherwise have it. I am seeking summer 2027 internships in software engineering and AI.
Three lines of work, one habit of mind.
Language models, adaptive systems, agent workflows
Putting AI into products people actually use: LLM integration, adaptive learning logic, agent pipelines, and model experimentation. As Head of AI at Mascatello AI Solutions I directed the architecture behind Learning Ladder AI, and at YHack I built the LangGraph and Gemini pipeline behind Faro. The interesting problems are rarely the model; they are the boundaries around it.
Accessibility, education, and the people at the edges
Designing around real constraints in accessibility and education. As Co-Founder and CEO of NAVINDOOR, I explored beacon positioning and audio-guided indoor navigation for blind and low-vision users. Through YANA, I studied how an AI assistant could begin a conversation in American Sign Language. I care about how technology creates access for people who would not otherwise have it.
Backends, interfaces, APIs, data, and the seams between
Connecting backend services, web and native interfaces, APIs, databases, and containerized environments into complete applications, from a SwiftUI client talking to a FastAPI backend over WebSockets to a Next.js site such as this one. I care about how systems fit together and how small decisions compound over time.
What I reach for, by discipline.
First-Year Research Immersion · Image and Acoustic Signal Analysis
Accessible AI research · Watson College of Engineering and Applied Science
YANA asked whether an AI assistant could begin a conversation in American Sign Language rather than treat it as an afterthought. Over three semesters in the Image and Acoustic Signal Analysis stream, I designed and tested a full recognition-and-response system: a prototype that reads ASL gestures in real time, interprets them with convolutional neural networks and OpenPose skeletal tracking, and answers in ASL through generative video and animation pipelines. The work drew on more than fifty peer-reviewed papers and brought computer vision, accessibility-minded design, and a good deal of practical experimentation into one system.
The degree, and the industry coursework completed alongside it.
Thomas J. Watson College of Engineering and Applied Science · Binghamton University
Admitted to the Watson College Scholars Program and the First-Year Research Immersion program, where three semesters of research in the Image and Acoustic Signal Analysis stream produced YANA. A member of the Computers, Robotics and Engineering Community and of the Educational Opportunity Program, which I later returned to serve as a Watson Peer Advisor across two summers.
QA North America
A grounding in generative AI as it runs on AWS: foundation models, prompt design, the managed services that serve them, and the questions of responsible use that come with them. Earned through the Mascatello AI Solutions partnership with QA.com.
QA North America
A first-principles course on what artificial intelligence is and is not: machine learning, neural networks, where the technology applies, and how to reason about its limits. Earned through the Mascatello AI Solutions partnership with QA.com.
MinnaLearn
MinnaLearn's course on AI in a business setting: identifying use cases, judging feasibility and data requirements, and weighing the practical and ethical considerations of adoption.
Competitions, podiums, and press.
Virtual Enterprises International × Long Island University
Virtual Enterprises International · 2023
The twins developing an indoor navigation app for the visually impaired
College Essay Guy
Beyond the stack.
Four languages, two of them native.
What colleagues and residents tend to rely on me for.