zac
Abdul Zacky
AI Engineer & Developer building intelligent digital solutions
About Me
My Journey
Hi, I'm Zac, an AI engineer and developer passionate about building intelligent systems that solve real-world problems. I specialize in deep learning, neural networks, and creating AI-powered applications with clinical-grade precision and reliability.
With expertise in PyTorch, Python, and modern web technologies, I bridge the gap between cutting-edge AI research and practical engineering solutions, delivering intelligent systems that truly make an impact in healthcare and beyond.
Skills & Technologies
Featured Projects
Quikyu - AI-Powered Smart Queue System
1st Winner of Hacksphere Compsphere 2025. AI-powered smart queue system for KAI Access with AI demand prediction, virtual waiting room, dual trust scoring for bot prevention, and smart route recommendations.
SIVANA - AI-Powered ASN Recruitment
Winner of ASN Digital AI Hackathon 2025. AI system revolutionizing Indonesia's civil servant recruitment with Computer Vision, NLP, and Generative AI for automated document verification, cheatproof face verification, and intelligent feedback generation.
Clinical ECG Classification
Multi-branch deep learning system for automated ECG interpretation detecting 71 cardiac conditions with clinical-grade visualization.
DataClair
Advanced data visualization and analytics platform built with modern web technologies.
Neural Style Transfer
Open-source AI project for artistic style transfer using neural networks.
Experience
IT Developer & Data Analyst Intern
Telkom Indonesia
Full-time internship developing IT solutions and performing data analysis for Indonesia's leading telecommunications company. Working on-site in Jakarta to deliver data-driven insights and technical implementations.
Scientific Committee of Data Analytics and Dash
COMPFEST
Remote position contributing to the scientific committee focused on data analytics and dashboard development for one of Indonesia's largest student-run IT events.
Staff of Business Development
COMPFEST
Part-time on-site role driving business development initiatives and partnerships for COMPFEST, Indonesia's premier technology festival organized by students.
Teaching Assistant of Databases
Faculty of Computer Science, Universitas Indonesia
Teaching Assistant for Databases course, helping students master SQL and database concepts at the Faculty of Computer Science, Universitas Indonesia.
Teaching Assistant of Linear Algebra
Faculty of Computer Science, Universitas Indonesia
Teaching Assistant for Linear Algebra course, guiding students through fundamental mathematical concepts essential for computer science.
Teaching Assistant of Calculus
Faculty of Computer Science, Universitas Indonesia
Teaching Assistant for Calculus course, helping students understand calculus fundamentals and their applications in computer science.
Staff of Festival
Pesta Rakyat Komputer
Part-time on-site staff member for Pesta Rakyat Komputer festival in Indonesia, contributing to event organization and execution.
Honors & Awards
1st Winner - Hacksphere, President University Compsphere 2025
Oct 2025awards.hacksphere.issuedBy KAI & President University
Won 1st place in Hacksphere Compsphere 2025 with Quikyu, an AI-powered smart queue system for KAI Access ticketing. Features AI demand prediction with XGBoost & GradientBoost, virtual waiting room, dual trust scoring (pre-access + behavioral analysis), and smart recommendation engine. Projected impact: 99% server uptime, 94% bot prevention, 78% user satisfaction, potential Rp 1.8T additional revenue, and 30% server load reduction during peak seasons.
1st Winner - ASN Digital AI Hackathon 2025
Nov 2025awards.hacksphere.issuedBy Badan Kepegawaian Negara (BKN)
Won 1st place (Rp 13,000,000) in ASN Digital AI Hackathon 2025 with SIVANA, an AI-powered system revolutionizing Indonesia's civil servant recruitment process. Built with Computer Vision and Generative AI to automate document verification (OCR + NLP), implement cheatproof face verification with liveness detection, and auto-generate TMS feedback. Projected impact: 99% accuracy (from 80%), <1 minute verification (from 2-3 weeks), 90% reduction in impostor cases, and Rp 192.5B annual savings.
2nd Winner - NexSolve Research Paper Competition (TECHTONIC UI 2025)
Nov 2025awards.hacksphere.issuedBy IEEE SB UI (IEEE Student Branch Universitas Indonesia)
Achieved 2nd Winner in NexSolve, an international research paper competition held as part of the TECHTONIC UI 2025 event. Our paper, "AI-Powered Passenger Distribution: A Framework for Optimizing Crowd Flow on Metro Platforms," introduced an AI-based framework (AIPDS) to optimize passenger distribution on metro platforms. The system utilizes real-time sensing and dynamic guidance to mitigate overcrowding, reduce train dwell times, and improve passenger safety and comfort.