Gede Bagus Krishnanditya MertaS.Kom.
Summa Cum Laude graduate (GPA 3.96/4.00) from Telkom University & IEEE Published Researcher. Engineering high-performance machine learning models, on-device AI applications, and enterprise systems.
I create thoughtful digital experiences that connect deep learning, on-device AI, and scalable software systems.
Telkom University
Summa Cum Laude
Apple Academy Selection
< 1% Acceptance Rate
Delivered Solutions
AI, iOS & Full-Stack
Scientific Research
IEEE Published (DOI)
Strategic Thinking, Clean Execution
From formulating novel hybrid deep learning architectures with Particle Swarm Optimization to developing fluid iOS CoreML camera pipelines and resilient Spring Boot & Node.js backend microservices.
Engineering Solutions with Measurable Impact
Explore 15+ end-to-end applications across Machine Learning, iOS CoreML, Full-Stack Software, and Research.
RONA - AI Acne Recovery Tracker
On-Device Computer Vision & Skin Recovery iOS App
An on-device AI-powered acne recovery tracking assistant engineered for iOS. Empowers users with localized 6-class acne severity inference, face-angle guidance with CoreMotion, and progress timeline visualization without compromising user biometric privacy.
Multimodal Credibility on Social Media
Hybrid CNN-BiGRU Deep Learning with PSO (IEEE Published)
Published research in IEEE ICICyTA 2025 proposing a multimodal hybrid deep learning framework for economic misinformation detection. Fuses InceptionV3 visual feature representations with BiGRU textual semantics, optimized via Particle Swarm Optimization.
BizzGrow - Smart Multiplatform POS & Analytics
Cloud-Synchronized MSME Analytics with Machine Learning
An integrated business management and smart sales forecasting system for MSMEs (UMKM), combining Flutter mobile, React web, and Flask ML microservices for inventory, cash flow, and predictive demand analytics.
Footsal - Smart Sports Ball Tracking
Real-Time Computer Vision iOS Analytics
An iOS sports assistant that tracks soccer and futsal ball movement in real-time from a live iPhone camera feed using an optimized YOLOv11m CoreML model and Apple Vision framework.
WattWise - IoT Smart Home Energy Manager
Real-Time Household Power Intelligence iOS App
An iOS smart energy tracking application that interfaces with IoT power meters to monitor household appliance consumption, calculate electricity tariffs, and alert users to phantom power leaks.
KoalaFit - Live Posture & Rep Counter
Live on Apple App Store · Vision AI Exercise Coach
Published on the official Apple App Store. An intelligent fitness tracking application using Apple Vision body pose estimation to guide users through correct exercise form and count repetitions in real-time.
Professional Experience & Key Milestones
Track record of engineering execution at Apple Developer Academy, enterprise logistics, and telecom.
Cohort Learner - iOS & Machine Learning Focus
Apple Developer Academy @ IL
Selected as 1 of 100 learners from 13,000+ national applicants (<1% acceptance rate) for an intensive 10-month engineering and design scholarship by Apple.
- Engineered 4 comprehensive iOS & watchOS applications using Swift 6, SwiftUI, CoreML, and Apple Vision framework.
- Trained custom YOLO11s computer vision models on 14,630 clinical images and quantized them into lightweight FP16 CoreML packages (<35 MB, <45 ms inference).
- Collaborated in multidisciplinary teams of up to 10 members applying Challenge-Based Learning (CBL) and Apple Human-Centered Design (HCD).
AI & Software Engineer Intern
PT Salam Pacific Indonesia Lines (PT SPIL)
Developed machine learning predictive services and internal maritime enterprise systems for Indonesia's premier shipping and container logistics provider.
- Built Ship Operation System (SOS) regression model to forecast cargo capacity utilization and route logistics efficiency.
- Engineered full-stack Early Medical Warning application for marine crews combining transit port medical records with extreme weather radar data.
- Integrated Python Flask REST services with React frontend and PostgreSQL relational databases.
Data Analyst Intern
PT Telkom Indonesia - Digital Business Directorate (DDB)
Contributed to an international precision agriculture modernization initiative in collaboration with Telkom Corpu for greenhouse farming in West Java.
- Applied Thinking Like a Data Scientist (TLADS) methodology to analyze agricultural production constraints and digital literacy among farmers.
- Authored formal Software Requirements Specification (SKPL) including Use Case Diagrams (F-01 to F-08) and Class Diagrams for a smart greenhouse Decision Support System (DSS).
- Designed DSS architectures integrating IoT microclimate sensor feeds with crop yield forecasting models.
Practicum Assistant & Coordinator
Informatics Laboratory, Telkom University
Mentored undergraduate computer science students in core AI and programming courses while coordinating laboratory logistics and grading assessments.
- Mentored hundreds of students in Basic Artificial Intelligence (NumPy, Pandas, Matplotlib, Scikit-learn).
- Assisted in Data Structure and Algorithm Programming courses in C++ and Python.
- Served as practicum coordinator managing lab schedules, teaching assistants, and grading rubrics.
Mobile Programmer Intern
Mobile Innovation Laboratory, Telkom University
Researched cross-platform mobile architectures and developed proof-of-concept applications for campus research initiatives.
- Built cross-platform prototype mobile applications using Flutter and Dart.
- Integrated state management, REST APIs, and local caching mechanisms.
- Participated in mobile UX reviews and component architecture discussions.
Tools, Frameworks & Engineering Stack
Specialized in on-device machine learning, modern Apple platforms, and scalable full-stack ecosystems.
AI & Machine Learning
Deep Learning, Computer Vision, NLP & Metaheuristic Optimization
iOS & Mobile Development
Native Apple Ecosystem & Cross-Platform Mobile
Web & Backend Engineering
Scalable REST APIs, Microservices & Frontend Frameworks
Databases & Cloud Platforms
Relational, NoSQL, Real-Time Sync & Cloud Services
Tools, Research & Collaboration
Version Control, Agile Workflow & Scientific Research
Academic Excellence & Recognitions
Distinguished academic standing, international academy cohort, and verified competitive achievements.
Formal Education
Apple Developer Academy @ IL
Apple Developer Academy Cohort 2026
- Specialized in iOS/watchOS software engineering, on-device machine learning with CoreML, and Human-Centered Design (HCD).
- Collaborated in 4 multidisciplinary engineering challenges creating high-impact native apps (RONA, Footsal, WattWise, KoalaFit).
Telkom University
Bachelor of Computer Science (S.Kom.)
- Completed undergraduate degree in 3.5 years with Summa Cum Laude honors (GPA 3.96/4.00).
- First Author of published IEEE research paper on hybrid deep learning and particle swarm optimization for multimodal fake news detection.
- Active Teaching Assistant for Basic Artificial Intelligence, Data Structures, and Algorithm Programming in Informatics Lab.
Awards, Publications & Certifications
Let's Build Something Extraordinary
Open for on-device AI engineering, machine learning research, iOS app development, and enterprise full-stack roles.
Contact Information
Feel free to reach out directly via email, WhatsApp, or connect on professional networks.
Email Address
baguskrishnanditya@gmail.comWhatsApp Chat
+62 858-4799-0203Primary Location
Batam, Indonesia