Multidisciplinary Software and Embedded Systems Engineer with more than 18 years of experience designing intelligent systems that integrate embedded hardware, autonomous robotics, artificial intelligence, data analytics, and enterprise software solutions. My expertise spans the complete engineering lifecycle—from scientific research, embedded electronics, and autonomous control systems to machine learning, cloud-connected applications, and large-scale software architecture. My engineering career began in marine instrumentation and telemetry, where I specialized in underwater acoustic systems, oceanographic instrumentation, embedded electronics, and autonomous underwater vehicles (AUVs). During my undergraduate and postgraduate research, I focused on the development of a Low-Cost Seaglider for long-endurance marine exploration. This research later evolved into a government-funded research project involving BMKG and continued through several years of development into an advanced autonomous underwater platform capable of gliding, thrusting, rotational maneuvering, adaptive navigation, and deep-water operation. I possess extensive experience in embedded systems engineering using Arduino, ESP32, ARM-based microcontrollers, Snickerdoodle SBC, Technologic Systems embedded computers, industrial sensors, telemetry devices, communication systems, and scientific instrumentation. My work includes hardware-software integration, firmware development, data acquisition, instrumentation, laboratory validation, and real-world deployment. My software engineering expertise includes backend systems, enterprise web applications, database engineering, RESTful API development, cloud integration, distributed systems, and scalable software architecture using PHP, Python, JavaScript, MySQL, HTML5, CSS, Bootstrap, and modern development frameworks. In recent years, I have expanded my expertise into Artificial Intelligence, Machine Learning, and Data Science. I develop intelligent systems involving predictive analytics, neural networks, feature engineering, time-series forecasting, anomaly detection, optimization algorithms, statistical modeling, decision-support systems, and production-ready AI integration. Within the financial technology sector, I specialize in quantitative trading systems using MQL4 and MQL5, developing Expert Advisors, algorithmic trading engines, portfolio management systems, risk management frameworks, trading dashboards, broker API integrations, copy trading platforms, licensing systems, and AI-assisted trading solutions. My greatest strength is connecting multiple engineering disciplines—including embedded systems, robotics, AI, software engineering, and data science—to transform complex ideas into practical, scalable, and commercially valuable products.