Connect physical signals to software
The livestock project follows a physical load through Arduino and HX711 sensing into connected weight monitoring.
COMPUTER ENGINEERING BACKGROUND / TARGET ROLE
Embedded / IoT Engineer
Start at the signal. Follow it through firmware, processing and the interface.
Computer Engineering background at UTeM with practical project work in Arduino-based weighing, load-cell signal handling, hardware/software integration and connected monitoring. Combines C/C++ and Python experience with hands-on technical troubleshooting.
HOW I COULD CONTRIBUTE
From the degree
to the work.
Consider the whole measurement path
Calibration, signal stability and reference conditions matter alongside firmware and connectivity. The portfolio keeps those evidence limits explicit.
Bridge devices and applications
The checkout pipeline and Android compatibility work add experience with peripherals, processing, deployment and behaviour on real devices.
SELECTED / EMBEDDED / IOT ENGINEER
The work behind the fit.
Three projects selected for this role. Open a case study for implementation details, constraints and evidence.
Embedded systems · Team project
IoT livestock monitoring
- Contributed to a team weighing/monitoring platform using Arduino, HX711 load-cell amplifiers, C/C++ signal filtering and telemetry dashboards.
- Team awarded Third Place at INOTEK 2025 (Series 1), 15 January 2025, for Development of Livestock Weight Tracking System Based on IoT.
INOTEK 2025 · Third PlaceDocumented team award · 15 January 2025
Explore the case study ↗Computer vision · Capstone
Hybrid Self-Checkout
- Built a Python pipeline combining YOLOv8/OpenCV product detection, USB barcode input and MySQL product/transaction data.
- Repository-reported evaluation: 77.4% precision and 72.0% recall after 50 epochs; tested visual verification challenges including occlusion and similar packaging.
77.4% precisionReported model benchmark · 50 epochs
Explore the case study ↗Android systems · Community project
SMC Crows
- Worked on Android compatibility investigation, release packaging, device testing and a community distribution portal.
- Documented installation and account backup/recovery workflows; release-specific test records explain device and Android-version constraints.
Android release pipelineCommunity engineering · see release evidence
Explore the case study ↗RELEVANT TOOLKIT
Skills, in context.
Embedded & sensing
C/C++, Arduino, HX711 amplifiers, load cells, signal filtering, sensor integration, EasyEDA.
Connected applications
Python, SQL/MySQL, telemetry dashboards, camera/barcode inputs and application integration.
Technical foundations
Hardware diagnostics, software deployment, Windows troubleshooting, VLAN, OSPF and Wireshark; Festo industrial-automation training.
PROFESSIONAL REGISTRATIONS
Engineering, with credentials.
BEM Graduate Engineer
Computer branch · Approved 15 October 2026.
Verify in the BEM public directory ↗MBOT Graduate Technologist
Information & Communication Technology (IT)
GT26100872 · Approved 22 October 2026.
Explore another direction.
Each view starts from the same Computer Engineering background and highlights different project evidence.
NEXT / A CONVERSATION
Have a role
in mind?
I’m looking for a team where I can contribute, learn and build useful technology.