About
Hi, I’m Bagus, an AI/ML Engineer and Software Developer specializing in building machine learning models and integrating real-world AI and LLM solutions across web, mobile, and iOS. With a keen interest in UI/UX and visual design, I combine technical engineering with user-centered thinking.
Currently, I’m at the Apple Developer Academy @ Infinite Learning Batam. I collaborate with multidisciplinary teams to solve real-world challenges through design thinking and rapid prototyping, focusing on developing on-device ML features and crafting intuitive, native iOS experiences.
Outside of tech, I love exploring new things. You’ll often find me sketching and drawing, singing or covering music, hitting the gym, or traveling into nature.
Experience
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MAR 2026 — Present Selected as 1 of 100 learners from 13,000+ national applicants (<1% acceptance) to design and ship native iOS apps. Spearheaded RONA, an on-device AI acne recovery assistant utilizing a quantized CoreML model (9.3 MB) trained on 14,600+ clinical images.
- Swift 6
- SwiftUI
- CoreML
- Vision Framework
- YOLO26s
- PyTorch
- Python
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SEP — DEC 2025 Engineered data-driven predictive ML load capacity modules and medical warning systems for commercial maritime vessel crews. Built scalable backend REST services with Flask, managed PostgreSQL schemas, and developed interactive React.js operational dashboards.
- Python
- Flask
- React.js
- PostgreSQL
- Scikit-learn
- Pandas
- NumPy
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JUN — SEP 2025 Served as Data specialist in an international precision agriculture modernization initiative in collaboration with Telkom Corpu. Conducted field observations, authored formal SKPL specifications, and designed the Greenhouse Decision Support System (DSS) with IoT telemetry integration.
- Python
- DSS Architecture
- IoT Telemetry
- System Design
- TLADS
- Data Analysis
Projects
Footsal — Real-Time Smart Sports Ball Analytics
Real-time sports ball tracking assistant for football/futsal match analysis via live iPhone camera feed, powered by CoreML and YOLO11m.
RONA — On-Device AI Acne Detection & Recovery Tracking
AI-powered on-device acne recovery tracking assistant for iOS. Built with YOLO26s + CoreML INT8 for real-time, 100% offline inference.
- TestFlight
WattWise — Rusun Electricity Budget Manager
iOS app helping shared apartment residents manage monthly electricity budgets through per-device power allocation and daily usage monitoring.
Writing
From “Just a Bot” to AI Agents: How My World Shifted in 4 Years
A personal reflection on how AI went from a chatbot that couldn't answer my first-year college quiz in 2022 to autonomous agents helping me build and deploy software in 2026.
- Personal Blog
Multimodal Information Credibility Classification Using CNN-BiGRU with Particle Swarm Optimization
An IEEE-published thesis proposing a multimodal hybrid deep learning approach (CNN-BiGRU + PSO) to classify information credibility on social media X (Twitter) by fusing tweet text, visual images, and user metadata.
- Paper
- IEEE
Awards
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2026 Selected as 1 of 100 from 13,000+ national applicants (<1% acceptance rate) for Apple's 10-month talent program.
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2025 Published multimodal deep learning research (CNN-BiGRU + PSO) for social media credibility classification.
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2024 Awarded 1st Place out of 100+ national teams in Telkom Indonesia's premier digital incubation program.
Playground & Lab
Location
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Tech stack
Tech stacks I'm familiar with
Focused on Core ML, SwiftUI, Python, and Foundation Models.