IoT & Embedded Systems Developer | Full-Stack Applications | System Integration & R&D
I work at the intersection of electronics, sensors, connectivity, software, and field deployment. My focus is on learning how systems work end to end, building practical solutions, and improving them through testing and troubleshooting.
My experience spans environmental monitoring, research instrumentation, Smart Farm systems, connected devices, web applications, and collaborative healthcare technology projects.
I started in industrial electronics and field instrumentation before moving into embedded development, IoT, and software integration. I combine hands-on hardware work with application development and an interest in reliable, maintainable systems.
What I work on:
- Embedded & IoT: Sensor integration, microcontroller firmware, LoRa/LoRaWAN, MQTT, and RS-485/Modbus communication.
- Systems & deployment: Linux gateways, networking, on-site testing, troubleshooting, logging, and monitoring.
- Applications & data: Web interfaces, APIs, dashboards, and data collection using React, AdonisJS, and databases.
- Applied R&D: Smart Farm instrumentation, environmental sensing, Edge AI experiments, and contributions to healthcare platform development.
I value clear documentation, collaborative problem-solving, and learning by building—not just following tutorials.
2024 – Present
- Coordinate technical tasks through OpenProject and contribute to Smart Farm, sensor-system, and research-instrumentation projects.
- Evaluate technical approaches and support development of LoRa-based gas-sensing tools for field research, including project planning and funding-related work.
- Design and present UI concepts; contribute to web application development using React and AdonisJS.
- Develop and test ESP32-based control and web-interface prototypes, including pump-control applications, and experiment with Raspberry Pi-based person detection.
- Participate in healthcare platform development through technical discussions, development planning, and collaboration with the team.
- Support system integration and troubleshooting involving field sensors, communication interfaces, and connected gateways.
2024
- Supported connected-device solutions using ESP32, Arduino, and LoRaWAN.
- Contributed to sensor integration, real-time monitoring dashboards, and tracking/monitoring use cases.
- Assisted with testing and practical deployment considerations for IoT systems.
2021 – 2024
- Supported embedded and IoT R&D, including hardware prototyping and firmware development.
- Worked with CCTV and access-control integration, PCB design, and device connectivity.
- Supported deployment and experimentation with Raspberry Pi and Jetson Nano platforms.
2019 – 2021
- Prepared PCB designs and bills of materials (BOMs).
- Performed hardware testing, assembly support, and integration activities.
2016 – 2018
- Supported environmental and air-quality monitoring stations.
- Performed sensor, instrument, and field-equipment maintenance and troubleshooting.
| Area | Technologies and experience |
|---|---|
| Embedded & electronics | ESP32, Arduino/AVR, Raspberry Pi, Orange Pi, STM32 development exposure, sensor interfacing, PCB design |
| Programming & web | C, C++, Python, JavaScript, HTML/CSS, React, AdonisJS, REST APIs |
| Protocols & connectivity | MQTT, Modbus RTU, RS-232/RS-485, LoRa/LoRaWAN, Wi-Fi, BLE, HTTP, WebSocket |
| Data & monitoring | PostgreSQL, MySQL, SQLite, MongoDB; InfluxDB, Grafana, Prometheus |
| Systems & tools | Linux, Docker / Compose, Node-RED, Git / GitHub, OpenProject, Figma, ESP-IDF |
| AI / computer vision | YOLO-based experiments, Raspberry Pi / Jetson Nano edge deployments, OpenCV and ONNX exposure |
The toolkit reflects a mix of project work and hands-on experimentation; depth of experience varies by technology.
These repositories document prototypes, learning labs, and technical experiments. They are not all production-ready products.
| Repository | Focus |
|---|---|
| KOPE-LoRa-Pro-Mini | LoRa and microcontroller prototyping |
| auto-watering-system | Embedded automation and irrigation experiments |
| ESP32-S3_ESP_IDF | ESP32-S3 development and ESP-IDF practice |
| NodeRED_With_RaspberryPi | Node-RED and Raspberry Pi integration exercises |
| docker-compose-configs | Container deployment and configuration practice |
| network-with-cisco-packet-tracer-labs | Network design and troubleshooting labs |
An illustrative architecture for connected monitoring applications:
flowchart LR
A["Sensors & Instruments"] --> B["MCU / Edge Device"]
B -->|"RS-485 / UART / LoRa"| C["Gateway"]
C -->|"MQTT / HTTP"| D["API & Data Services"]
D --> E["Database / Time-Series Storage"]
E --> F["Dashboard & Alerts"]
Depending on the use case, processing and storage may run on-premises, at the edge, or in the cloud.
- Rust for systems programming and embedded development.
- PLC, SCADA, and industrial automation workflows.
- IIoT architecture, industrial integration, and practical cybersecurity considerations.
- Edge AI deployment, performance testing, and maintainable device software.
These are ongoing development areas, not claims of advanced specialization.
Master's Degree — Digital Technology
Sukhothai Thammathirat Open University (2024 – Present)
Bachelor's Degree — Computer Science
Sukhothai Thammathirat Open University (2018 – 2023)
High Vocational Certificate — Industrial Electronics
Surin Technical College (2014 – 2016)
I share learning notes, hands-on experiments, and project-based technical content across electronics, embedded systems, networking, IoT, programming, data, and applied AI. The goal is to help others understand the fundamentals, build independently, troubleshoot effectively, and keep improving.
Keen • Observe • Pioneer • Empower
Email: kittisak.hanheam@gmail.com
GitHub: KOPE-SOLUTION
Engineering grows through curiosity, practical work, and continuous improvement.