Software engineer
iOS / ML / Web
Based in Batam
Working globally
Valentino Hartanto / ©2026
Building native products, intelligent systems, and thoughtful interactions.
Fresh graduate in Informatics with Summa Cum Laude distinction. Specialized in Computer Vision, Deep Learning, and practical software engineering — from on-device AI and native iOS development to full-stack web applications and ML microservices.
Selected work01 / Selected work
Three projects across personal journaling, on-device intelligence, and peer learning.
Digital Journaling App
A letter-inspired journaling prototype with a visual writing canvas, envelope animations, emotion stamps, and folder interactions.
Swift / SwiftUI / SwiftData / @Observable
AI Presentation Coach
An AI-powered presentation coaching tool that records speech, transcribes it using on-device Whisper, detects filler words, and provides per-slide analytics synchronized with Apple Keynote.
Swift / SwiftUI / WhisperKit / CoreML / AVFoundation / AppleScript
Peer Tutoring Marketplace
A two-sided educational marketplace connecting university student-mentors with mentees, featuring paid study groups, Midtrans payment integration, and review system.
React / Vite / Tailwind CSS / Express.js / MySQL / Midtrans / JWT
02 / About
A software engineer working between product craft, native Apple platforms, and applied machine learning.
Fresh graduate in Informatics with Summa Cum Laude distinction. Specialized in Computer Vision, Deep Learning, and practical software engineering — from on-device AI and native iOS development to full-stack web applications and ML microservices.
Experience
PT Salam Pacific Indonesia Lines (SPIL) · Surabaya
Education
Bachelor of Computer Science (B.Comp.Sc.)
Informatics — Focus on Computer Vision & Deep Learning
C2026 Learner
iOS development, mobile product design, and the Apple ecosystem
03 / Lab & capabilities
The technologies I use to move from an early idea to a dependable product.
Swift / SwiftUI / iOS / macOS / CoreMotion / ActivityKit / WidgetKit / SwiftData / Screen Time API / FamilyControls
CoreML / WhisperKit / Computer Vision / Deep Learning / Python / XGBoost / scikit-learn
TypeScript / React / Next.js / Vue.js / Node.js / Express.js / Laravel / Flask / MySQL / Firebase
04 / Research
Research that connects model optimization with real diagnostic problems.
Hyperparameter optimization on hybrid CNN-Transformer architectures using PSO for medical image classification
Read publicationEnhanced EfficientNetV2 for multi-class wheat disease classification by integrating Particle Swarm Optimization for hyperparameter tuning.
Read publication05 / Notes
Working notes on product decisions, on-device intelligence, and the systems behind the interface.
What changes when movement becomes part of an interface rather than another metric on a dashboard.
5 min 02A practical look at privacy, latency, and synchronizing local speech analysis with a live Keynote deck.
6 min 03Why optimization is most useful when it improves the experiment process, not only the final accuracy number.
5 min06 / Live signals
Small traces of what I am building, learning, and listening to right now.
Current focus
Exploring / 2026SwiftUI / Core ML / Computer Vision
Native experiences with intelligence that stays close to the user.
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