π Hello. My name is Joseph. I'm a student AI researcher who specialized in Deep Learning Classification model (text and image), but also have some ability to explore about Simpler Machine Learning model and Data Visualization. Besides, I have some ability to code in Kotlin for Android App Development. I'm very passionate about technologies related to Data field and I'm currently exploring Data Science techniques through project building and trying Generative AI approach such as RAG. Besides, I also experimenting to surpass the state-of-the-art methods on the research I've been working on, such as Personali-T and AffecientNet.
I'm partially working as an student AI research scientist at Affective Computing Research Interest Group (ACRIG) laboratory, conducting experiments using deep learning techniques and writing academic research paper.
Visit my portfolio and LinkedIn for more details on what I'm working on :)
- AffecientNet (Affective EfficientNet) | Master's Thesis Project | Streamlit Demo
- SAE-CNN (Scaled dot-product Attention Engagement CNN) | Part of Master's Thesis Project
- Personali-T | Bachelor's Thesis Project | Streamlit Demo
- Unitics | Streamlit Demo | Github
- HERA | Github
- Generative AI/LLM (RAG)
- Android App Development
Β© 2024 - Joseph Ananda