AI Research Portfolio
Muhammad Khoirul Ihsan
AI Researcher • Universitas Negeri Semarang
Large Language Models and Natural Language Processing, with emphasis on efficient domain adaptation and reasoning • Multimodal Learning • Machine Learning for Scientific Data Analysis researcher building reliable AI systems for scientific and real-world problems.

About
Research focus and education
Interdisciplinary work across learning systems, multimodal understanding, and applied AI for scientific and real-world decision contexts.
Research interests include Large Language Models and Natural Language Processing, with emphasis on efficient domain adaptation and reasoning, Multimodal Learning, Machine Learning for Scientific Data Analysis, Edge AI on Resource-Constrained Devices, Computer Vision.
Aug 2023 – Aug 2027 (Expected)
Bachelor of Informatics Engineering
Universitas Negeri Semarang
GPA: 3.70/4.00 • TOEFL iBT: 90
Gallery
Research footprint across major projects, roles, and talks

Exoplantropy
AI-Based Exoplanet Detection
IndoROBERTa
Indonesian Financial Sentiment Classifier
Qwen2.5-0.5B-Reasoning-LoRA
Reasoning-Enhanced Small LLM
IHSG News Analyst
Stock Movement Prediction from News
AI Engineer · Rubythalib.ai
Conducted R&D on computer vision models, including benchmarking YOLO architectures, hyperparameter optimization, and data augmentation strategies.
AI Research Intern (UGRIP) · MBZUAI
Selected for the Undergraduate Research Internship Program (UGRIP) at MBZUAI.
Speaker at PyCon APAC 2025
Asia-Pacific Python Conference (PyCon APAC)
Speaker at PyCon JP 2026
Python Conference Japan (PyCon JP)