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farrell_habibie

Farrell H

@farrell_habibie

Applied AI Engineer CoreML iOS AI Integration

Indonesia
Indonesian
About me
I am an Applied AI/Machine Learning Engineer specializing in building real world AI solutions, especially for mobile and computer vision applications. My expertise includes computer vision (object detection, segmentation) and integrating AI into applications, including iOS apps using CoreML for fast on-device performance. I have built Real time gesture recognition system deployed in an iOS app, AI powered receipt OCR and validation system, Road damage detection system for edge devices, and Power Consumption Forecasting model. If you need AI that actually works in your product, I can help.... Read more

Skills

f
farrell_habibie
Farrell H
Offline • 
Average response time: 1 hour

See my services

Computer Vision
I will build a custom computer vision model
From$90 / projectMore details

Work experience

Apple

iOS intern at Apple Developer Academy

Apple • Part-time

Mar 2026 - Present • 2 mos

Built Naruto Jutsu Recognition iOS App (MediaPipe + CoreML). Built an end-to-end hand\_gesture\_model pipeline to train a unified 12-class hand-sign classifier from MediaPipe landmarks using fixed 126-feature vectors (left/right hand assignment + zero-padding for missing hand. Exported the trained model to CoreML and integrated it into a SwiftUI iOS app for on-device, low-latency inference with AVFoundation camera streaming

Telkomsel

Telkomsel

Part-time • 11 mos

AI Engineer

Sep 2025 - Feb 2026 • 5 mos

Reponsible in building Road Damage Detection and Segmentation. Developed semantic segmentation model using LEDNet lightweight encoder-decoder architecture based on Road Damage Surface Semantic Segmentation research paper. Designed full pipeline: dataset merging, preprocessing, model training, evaluation (Precision, Recall, mAP50-95, IoU), and deployment testing with dashcam input

Data Analyst

Jul 2025 - Jan 2026 • 6 mos

1. Developed a Sales/Customer Service Video Analysis using Audio Feature Extraction and Speech to Text Model 2. Created a Personalized Healthcare Customer Servicee Chatbot that uses Puskesmas Data and Business process as its foundation for personalization 3. Developed ERD and Intention Classification Model using multiple BERRT for Customer Service Chatbot 4. Developed an AI-powered receipt upload and verification platform to optimize local tax reporting (PAD) through automated OCR and validation engine