
Currently studying at Institut Teknologi Del with a strong passion for Cybersecurity and Cloud. Quick learner, team player, and eager to tackle real-world challenges through hands-on experience. Actively seeking job opportunities to grow and contribute in IT domains. Let’s connect!
I am a Software Engineering student at Institut Teknologi Del with a background in Computer Technology and a strong interest in Cloud Computing, Cybersecurity, IT Infrastructure, and Internet of Things (IoT).
Through academic and personal projects, I have gained hands-on experience in software development, embedded systems, networking, Linux-based systems, IoT technologies, and system integration. I enjoy exploring how software, infrastructure, and connected devices can work together to solve practical problems.
I am a quick learner, proactive team player, and highly motivated to continuously improve my technical and problem-solving skills. I am currently looking for opportunities to gain professional experience, contribute to real-world projects, and grow as an IT professional.
Feb 2026 - Jul 2026
PT. Pundi Mas Berjaya
Deployed and maintained backend services for Cashflow System and Headless CMS REST API, implementing cloud infrastructure, URL encryption, and dynamic authorization.
2023-2026
Institut Teknologi Del

A comprehensive, real-time Internet of Things (IoT) system engineered to monitor critical water quality parameters, specifically Dissolved Oxygen (DO) and Surface Temperature, at Lake Toba. The system architecture leverages LoRa wireless technology for long-range, low-power data telemetry from field sensor nodes to a central gateway.
The data pipeline is processed by a flow-based engine and stored in a time-series database hosted on a self-managed, secure Linux cloud server. To ensure accessibility and data-driven decision-making, the telemetry data is visualized through a responsive, high-performance single-page application (SPA). The dashboard features interactive historical charts, automated data aggregation based on time intervals, and real-time network health monitoring (RSSI & SNR). The entire infrastructure is secured with SSL/TLS encryption and integrated with a custom CI/CD pipeline for seamless, zero-downtime automated deployments.

Automatic Bird Pest Detection and Repelling System is an IoT-based agricultural system designed to automatically detect bird activity in rice fields and respond without continuous human supervision. The system uses multiple PIR sensors connected to an ESP32 sensor node to detect movement, then transmits detection events to the main node via LoRa for long-range communication. Once a bird is detected, the main node generates a high-frequency sound signal using PWM to drive piezo buzzers through an audio amplifier, while simultaneously sending a real-time notification to farmers through Telegram. The system is also designed with a solar-powered energy system, making it suitable for remote agricultural environments with limited access to conventional electricity.

Designed and developed an end-to-end Internet of Things (IoT) solution to monitor soil conditions and automate watering processes. The system operates on an ESP32 edge device integrated with multiple capacitive soil moisture sensors. It features a custom fault-tolerant logic (Smart Average) that filters out hardware anomalies, preventing overwatering if a sensor disconnects. The edge device utilizes a hysteresis control algorithm for efficient water pump activation.
Telemetry data is transmitted seamlessly via MQTT protocol to a Node-RED data pipeline, which processes and logs the information into an InfluxDB time-series database for robust historical data retention.