Introduction
I'm a full stack software engineer and machine learning researcher transforming ideas into interactive and seamless digital experiences with cutting-edge technologies.
About
After earning my B.S. in Biochemistry, I spent over 2.5 years serving my community as an ophthalmic technician at a local eye clinic. During my time there, I taught myself full-stack web development and built tools that improved technicians' workflows. That experience sparked a more profound passion for building solutions that make life easier. Of recent, I started to build a learning management system to streamline technician onboarding by reducing classroom time and increasing hands-on training.
I am always open to new opportunities and look forward to joining a team that values innovation and collaboration.
Experience
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Feburary 2023 — Present At 100devs, I develop and maintain client projects using industry-standard technologies. Continue developing my skills and engineering automation solutions for our team, freeing us to focus on more impactful work.
- Next.js
- TypeScript
- Tailwind
- Agency Work
- Remote
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August 2022 — Present At SEC, I'm building a Learning Management System (LMS) to streamline technician onboarding by reducing classroom time and increasing hands-on training on the floor.
- Next.js
- Auth.js
- React
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June 2020 — Present At TR, I work on delivering and maintaining back-end solutions for small—to medium-sized businesses.
- JavaScript
- Freelance
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Speaking Engagements
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Speaking Engagement I have a lecture that covered the Model-View-Controller (MVC) design pattern. Presentation shared with an online community.
- Model-View-Controller (MVC)
- Express
- Routers
- MongoDB
- Template Engines
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Featured Projects
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Designed and developed a lightweight web application to help ophthalmic technicians instantly transpose patients' glasses prescriptions.
- React
- DaisyUI
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Building a full-stack LMS for ophthalmic technicians. Features include authentication, image upload and note taking. Future updates: AI notes and quiz functionality.
- Next.js
- MongoDB
- Cloudinary
- Auth.js
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A no-code visual interface that lets users create a pipeline of AI tasks (like image input → object detection → alert) using a drag-and-drop interface. Workflows can be saved, tested, and edited.
- React
- MongoDB
- Express
- Cloudinary
- HuggingFace API
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