Gilang Hidayatullah
From research to deployment: I design and implement machine learning models that scale.
About Me
Hello! I'm an AI & Machine Learning Engineer with a deep passion for building scalable, intelligent systems. My journey involves transforming complex data into actionable insights and designing machine learning models that solve real-world problems.
I specialize in Python, end-to-end ML pipelines, and cloud deployments, particularly on Google Cloud Platform. Whether it's computer vision, natural language processing, or forecasting, I enjoy every step from research to production.
Featured Projects
View all on GitHub →supplychain-ml-forecasting-optimizer
End-to-end retail supply chain analytics demo: generate dummy data, engineer features, train weekly demand forecast model, and optimize replenishment under budget using linear programming. Exposed via FastAPI service.
streamlit-gemini-apps
Comprehensive suite of Google Gemini AI applications built with Streamlit. Features text chat, Q&A, and image analysis with modern UI and streaming responses.
Websocket-AI
Go application providing WebSocket interface for communicating with Google Vertex AI, supporting real-time text and audio input with Text-to-Speech (TTS) responses.
Anime-Watchlist
Personal anime tracking and management application for organizing your anime watchlist with modern interface and features.
ai-task-analyst
Intelligent AI-powered web application for analyzing and managing project/task data, featuring advanced function calling, data analysis, and AI chat that remembers previous conversations and provides actionable insights.
Customer-Support-Chatbot-Project
Advanced customer support chatbot system with AI-powered responses, multi-channel support, and intelligent ticket routing for enhanced customer service experience.
Skills Overview
Self-assessmentInteractive AI Demo
Try out this lightweight sentiment analysis model running entirely in your browser
Sentiment Analysis
Powered by keyword-based ML algorithm
Real-time
Instant analysis with no server calls
Client-side
Runs entirely in your browser
Lightweight
No heavy ML models needed
ML Demonstrations
Experience real-time machine learning powered by TensorFlow.js and face-api.js. All processing happens in your browser for maximum privacy.
Hand Gesture Game
Play rock-paper-scissors using hand gestures detected in real-time. Uses TensorFlow.js Handpose model for accurate gesture recognition.
Face Expression Detector
Detect emotions from facial expressions in real-time. Analyzes 7 different emotions with confidence scores using face-api.js.
Object Detection Game
Find objects using your camera in this interactive game. Uses COCO-SSD model to detect 80+ different object types in real-time.
Privacy First: All ML processing happens locally in your browser. No video or images are ever sent to external servers.