🎓 I'm a 3rd-year undergraduate student at KAIST, double majoring in Computer Science and Mathematics.
🌍 Recently returned from an exchange semester at Technical University of Berlin.
🧠 My interests lie in AI research, Computer Vision, and Natural Language Processing.
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Cultural Evaluation of Multimodal LLMs
Co-authored a paper accepted to NAACL 2025:
“WHEN TOM EATS KIMCHI: Evaluating Cultural Awareness of MLLMs in Mixed-Cultural Contexts”
→ Built a benchmarking pipeline using SAM, image inpainting, and cross-cultural analysis.
→ Created the MIXCUBE dataset (2.5k+ culturally diverse images). -
ML & Deep Learning Projects
→ Built and trained MLPs, CNNs, FCNs, ResNets on datasets like CIFAR-10, PASCAL VOC, and Multi30K.
→ Developed NMT models using LSTMs, Attention, and Transformer architectures. -
Web & Systems Work
→ Created ApricusEdu, a web app supporting high school education (featured in Harvard CS50 coursework).
→ Stack: Flask, HTML/CSS, JavaScript, SQL
- Honorable Mention, IMO 2021 & 2022 (International Math Olympiad)
- NAACL 2025 (C3NLP) accepted paper on multimodal cultural awareness
- Top 100 (out of 80,000) – Rise for the World Global Competition (UK)
Languages: Python, C, SQL, Java, Matlab, HTML/CSS, JavaScript, Flask
Frameworks: PyTorch, TensorFlow, Hugging Face
Tools: SAM, OpenCV, MySQL, Git, Docker
Human Languages: Azerbaijani (native), English, Russian (fluent), Turkish (advanced), Korean & Spanish (basic)
I’m actively exploring internship opportunities for Summer 2025 in a wide range of environments — from research labs to startups, corporates, and tech companies of any size. I'm especially excited about roles involving:
- AI/ML, NLP, or Computer Vision
- Applied research, product engineering, or backend systems
- Projects with real-world impact, innovation, or scale
📬 Let's connect!
📧 Email Me • 💼 LinkedIn