Summary
Galih Hermawan is a Lecturer and Researcher in Informatics Engineering at Universitas Komputer Indonesia with 10+ years of experience applying machine learning and NLP to real-world problems. He focuses on practical, explainable AI—evaluating LLMs/VLMs for accuracy and robustness, building Retrieval-Augmented Generation and document-based QA systems, and developing Text-to-SQL solutions for database-grounded analytics. In teaching he blends hands-on labs in MySQL/MariaDB and Python with thesis and internship supervision, translating research into student projects and prototypes (Flask/Gradio). His work spans computer vision (distracted driver classification with ResNet-50), blockchain-based social aid tooling, and an internal, explainable dashboard for lecturer eligibility that emphasizes provenance and rule-based reason codes. Open to research collaboration and applied AI projects, he also shares tutorials and code publicly to bridge academic research with practitioner tooling.
10 years of coding experience
Post Graduate, Electrical Engineering, Post Graduate, Electrical Engineering at Institut Teknologi Bandung (ITB)
Indonesian, English, javanese, Sundanese