Building Privacy-First Web Products & Scalable Systems
Founder of Dely Labs. Creator of Dely Sign. I build high-standard applications that prioritize privacy.

I turn early-stage ideas into clean, scalable, and production-ready systems. From shaping system architecture to writing maintainable code, I’m used to building products in fast-moving, resource-constrained environments—where clarity, ownership, and execution matter.
A curated list of technologies I use to build robust applications.
Building complex, interactive UIs with focus on performance & accessibility.
Bridging the gap between research models and production-ready inference.
Architecting scalable backend solutions and database schemas.
Bridging the gap between complex engineering and intuitive user experience.
The Challenge Users hesitate to upload sensitive documents to third-party servers for signing.
My Solution Engineered a 100% client-side rendering engine using GPU acceleration.
The Impact Zero data leaks (GDPR compliant) & native-app performance in-browser.
The Challenge Synchronizing complex schedules between psychologists & clients often caused double-bookings.
My Solution Built a concurrency-safe booking system with atomic locking & real-time sockets.
The Impact Automated the entire clinical workflow from booking to payment verification.
An advanced number-to-text converter capable of handling extreme precision (up to 64 digits).
Text and code comparison tool utilizing Diff algorithms to highlight changes and detect plagiarism.
A suite of text manipulation tools (Case Converter, Cleaner, Sorter) designed for quick developer tasks.
Jun 2025 - Present
Engineered the end-to-end telemedicine infrastructure, orchestrating complex availability algorithms, secure payment gateways, and atomic booking transactions to ensure a seamless, conflict-free user experience.
Jan 2025 - Apr 2025
Guided a cohort of students through the full ML lifecycle, from data preprocessing to cloud deployment. Facilitated code reviews and technical workshops, resulting in the successful completion of machine learning capstone projects.
Aug 2022 - Jan 2025
Facilitated lab sessions for 3 core Computer Science courses (DSA, OOP, Python), mentoring over 100+ students. Evaluated complex algorithms and provided actionable code feedback to improve student problem-solving skills.
Jan 2022 - Oct 2025
Bootstrapped a digital document service business from zero. Developed a high-performance landing page optimized for SEO and speed, successfully channeling high-intent traffic directly to WhatsApp for rapid order fulfillment.
Focus on Artificial Intelligence and Software Engineering. Active in Gemastik and Practicum Assistant.
Capstone Project: EUY App (Top 50 Product). Mastered TensorFlow, Python, and Model Deployment.
Where Machine Learning theory meets practical efficiency.
Gemastik XVI 2023 - Gold Medal & Best Paper
Developed a lightweight segmentation model (1.17M parameters) prioritizing memory efficiency, proving high-performance AI is viable in resource-constrained environments.
IEEE (Nov 2024)
Designed a real-time efficient deep learning architecture combining ConvMixer and Attention mechanisms, achieving superior accuracy for automated medical diagnosis.
IEEE (Nov 2024)
Engineered an enhanced ResNet backbone with residual factorization, significantly improving feature extraction capabilities for complex biomedical imagery.
Jurnal Teknik Informatika (JUTIF 2024)
Optimized classification performance on highly imbalanced datasets using ROS & SMOTE techniques, achieving 94% accuracy with SVM.
Continuous professional development in Machine Learning and Software Engineering.
TensorFlow Certificate Program

Dicoding Indonesia
DeepLearning.AI
DeepLearning.AI
Dicoding Indonesia
Dicoding Indonesia
Dicoding Indonesia
I also help businesses and researchers automate workflows and build custom solutions. Open for freelance or consulting opportunities.
Building robust, scalable web applications using modern stacks like Nuxt.js or Laravel. Focus on performance and SEO.
Automating repetitive tasks and extracting data from complex websites using Python. Save 100+ hours of manual work.
Integrating Machine Learning models into web apps. From sentiment analysis to computer vision solutions.