I design & build
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I build intelligent systems combining software engineering, machine learning, embedded DSP algorithms, and practical research to solve real-world problems.
Engineering Philosophy />
“I believe technology should solve meaningful problems through research, experimentation, and practical engineering.”
Work />
Featured Research & Engineering Projects
Prioritized portfolio showcase combining signal processing, ML vision, IoT telemetry, and software systems.
Certificates />
Verified Certificates & Credentials
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Lab & Status />
Current Work & Active Research Status
Active research modules, continuous engineering benchmarks, and hardware prototypes currently in progress.
Plant Disease Classification
Fine-tuning MobileNetV3 deep learning vision models for instant leaf disease diagnosis.
Smart Mushroom House
Scaling IoT telemetry sensors and TKKS organic growth medium automation in agricultural sites.
ESP32 Signal Processing
Refining Fast Fourier Transform (FFT) and Hybrid HPS pitch extraction algorithms on C++ microcontrollers.
Machine Learning Research
Writing technical documentation and empirical benchmark reports for lightweight AI models.
Portfolio Development
Maintaining high-performance web architecture, WebGL shaders, and interactive verified documents.
Core Research Focus
Machine Learning & Deep Learning
Neural network architectures, acoustic classification, and predictive modeling.
Computer Vision
Automated image segmentation and feature extraction for biological datasets.
Embedded Systems & DSP
Real-time Fast Fourier Transform (FFT) and Harmonic Product Spectrum on ESP32 microcontrollers.
IoT & Smart Agriculture
Sensor telemetry networks, microclimate automation, and organic waste reuse.
Software Engineering & Architecture
High-performance full-stack web applications, reactive state management, and API design.
About / philosophy & research
Bridging theoretical research & hardware-software execution.
I am a Software Engineer and IoT & Machine Learning Researcher based in Bogor, Indonesia. My work focuses on designing intelligent end-to-end systems that bridge hardware telemetry, signal processing algorithms, and machine learning models with high-performance software architecture.
Rather than treating software as isolated code, I approach engineering with a research-first mindset: understanding physical constraints, extracting quantitative signal features, and training precise algorithms to create measurable real-world impact.
// Turning research into real-world intelligent solutions.
// Available for Collaboration • Research Collaboration Welcome
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technicalStack() {
return [ 'Python', 'SQL', 'ESP32', 'C++', 'Machine Learning', 'Deep Learning', 'OpenCV', 'Next.js', 'React', 'Three.js' ]
}
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Software Engineering & Developer
Building full-stack systems, modern web architecture, and clean API design.
IoT & Machine Learning Research Lead
Leading embedded hardware R&D, FFT DSP pitch algorithms, and TKKS smart farming.
IT Bootcamp & Technical Workshops
Intensive training in modern JavaScript, TypeScript, systems development, and microservices.
Teaching Practice & Technical Mentorship
Mentoring community members in computer literacy and introductory software tools.
Database Workshop & Software Certification
Completing national BNSP software developer qualification and SQL relational database design.
Community Service & Technology Transfer
Executing community outreach programs at TPQ Bina Ummah for digital cash management 2026.
Technical Stack & Tools
Contact />
Let's collaborate on research & engineering.
Whether you are looking to build intelligent systems, explore research opportunities, or discuss software engineering, feel free to reach out.