Engineering intelligent systems across embedded devices, software, and AI-powered products.
About
I build practical systems at the intersection of embedded hardware and software. Most of my work starts with a real-world problem and asks: what does the sensing architecture look like, how does data move through the system, and where does decision-making or automation actually add value?
On the embedded side, I work with ESP32 and Arduino — sensor integration, communication protocols, real-time data acquisition. On the software side, I design REST APIs, full-stack web applications, and mobile apps. The most interesting engineering happens at the boundary where these layers have to exchange data and work together under real constraints.
I apply AI as an engineering tool rather than an end in itself — computer vision inside a posture monitoring pipeline, anomaly detection on sensor streams, or intelligent scheduling in a task management system. The goal is always a system that solves a specific problem, not a demonstration of technique.
Projects
Offline-first mobile productivity app for Android and web — task writes queue locally and sync on reconnection, keeping the app fully functional without a network. Built on a Node.js/Supabase backend with JWT auth, email-based password reset, and cross-session state persistence.
Technical write-up in progress — computer vision + embedded sensor fusion pipeline.
Technical write-up in progress — full-stack clinic management with role-based access.
Technical write-up in progress — job-matching platform for local employment.
Technical write-up in progress — embedded collision detection and GPS alert system.
Skills
Contact
Open to internships, collaborations, and engineering challenges. Reach out — I'd love to connect.