I build applications with an understanding of the data, services, and hardware behind them.
My work spans a native Windows productivity application, an IoT forecasting system, and a QR-based attendance and allowance platform.
01
Applications
Desktop, mobile, and web
02
Software & data
Native logic and persistence
03
Services
Synchronization and automation
04
Embedded systems
Sensors and edge computing
Selected work.
Desktop, connected systems, and web. Three projects, from interface to implementation.
Personal project2026
AyOS
Personal Productivity OS
A native Windows application bringing productivity, finance, fitness, calendar, and automation into one offline-first system.
Tauri · Rust · React · TypeScript · SQLite · n8n
Engineering contribution
Built and shipped a React-to-Rust application with embedded SQLite. Validation, persistence, backups, and native operations live in Rust, with an authenticated localhost API connecting n8n workflows.
Skip to architecture HomeTasks, projects, and money in one daily overview01 / 05FocusSpace for the task at hand02 / 05CalendarTasks, events, and renewals on a shared schedule03 / 05NotesA place to capture ideas04 / 05WelcomeThe start of a local session05 / 05
Application architecture
One desktop. One local system.
01
InterfaceReact + TypeScript
Productivity, finance, fitness, and calendar
02
Native applicationRust + Tauri
Validation, backups, and native operations
03
PersistenceSQLite
Embedded storage, available offline
Authenticated localhost API ↔ n8n automation
Academic thesis project2026
LINIS
Know which bin needs attention before it overflows.
IoT System for Bin Time-to-Overflow Forecasting and Priority Collection
ESP32 · Raspberry Pi · Firebase · React Native · Python · YOLOv8 · Random Forest
Engineering contribution
Built a Random Forest forecasting model and a YOLOv8n people-counting pipeline using head detection within a defined region of interest. Synchronized sensor and camera data in real time and converted the vision model to NCNN for edge deployment.
Bin detail / Inspect an individual binNotifications / Review monitoring alerts
From readings to decisions
An IoT system connecting ESP32 sensors, Raspberry Pi camera data, Firebase, and an Android application to monitor bins and forecast fill levels.
From the physical world to the interfaceLINIS
Android monitoring application
01
Sense
ESP32
Sensor readings capture the physical state of the bins.
02
See
Raspberry Pi · YOLOv8n
Head detection counts people within a defined region of interest. NCNN brings the model to the edge.
03
Synchronize
Firebase
Sensor and camera data stay synchronized in real time.
04
Forecast
Python · Random Forest
A Random Forest model uses the data to forecast bin fill levels.
05
Monitor / act
React Native · Android
The application brings the connected system into a readable monitoring interface.
Two inputs. One connected view.
Physical readingsESP32Bin sensors
Camera dataRaspberry PiYOLOv8n · NCNN
Synchronized dataFirebase
ForecastingRandom ForestPython · bin fill levels
MonitoringAndroid appReact Native
Academic project2024
QR Attendance & Allowances
A QR-based attendance system that credits a predefined event allowance to eligible users after verified attendance.
Tailwind CSS · JavaScript · PHP · MySQL
Engineering contribution
Implemented dashboards for admins, workers, and attendees, with event management, attendance history, announcements, and allowance tracking. Validated core workflows through unit, integration, user acceptance, and performance testing.
01
Create an event
Define the event and its allowance amount.
02
Verify attendance
Record attendance through the QR-based workflow.
03
Credit allowance
Automatically credit eligible users after verification.
Supported enterprise IT operations, device deployment, and end-user support. Managed IT assets through configuration, deployment, maintenance, onboarding, offboarding, and recovery. Used Freshservice and Monday.com to coordinate assets, requests, and workflows, and resolved basic hardware and software issues.
