Damir Kim

AI Engineering Program Participant

Outpeer.kz Data Science School

Participating in a grant-funded AI engineering program; built a phishing URL classifier on 200,000+ examples, reporting metrics above 90%.

• Admitted to a 6-month long training in AI Engineering course with full grant of $1,700+ • Deployed a pet project to detect phishing links by training a binary classifier on a PhiUSIIL Phishing URL Dataset consisting of 200,000+ instances, achieving +90% metrics • Covered various topics from Computer Vision and NLP, including, but not limited to biometric identification, speech emotion recognition, and chatbots

Data Science Research Assistant

Central Asia Food Innovation Lab

Builds LLM-based dietary advice and optimization workflows, supports image data collection, and contributed to a BMJ-published abstract and award-winning poster.

• Extracted 135 food recommendations from LLMs for 5 patients by connecting Meta’s Llama, Gemini API, ChatGPT API, and DeepSeek API with automated script to evaluate their potential as a dietary assistant • Developed a pipeline to produce mathematically accurate nutrition advice by connecting LLMs with a Mixed-Integer Linear Programming solver • Assisted with data collection by recording 1500+ images using Intel RealSense Depth and RGB cameras

Computer Vision Intern at UGRIP (Acceptance rate 0.03%)

Mohamed bin Zayed University of Artificial Intelligence

A graduate-level research university specializing in artificial intelligence, based in Abu Dhabi.

Worked on BraTS 2025 brain-tumor imaging tasks, co-submitted two MICCAI papers, and helped lead a six-person team that received a Best Team award.

• Improved accuracy of brain tumor classes segmentation for low-quality 3D images from Sub-Saharan African dataset to participate in BraTS 2025 Lighthouse Challenge Task 5, and collaborate on Treatment Response task • Collaborated on Generation, Segmentation, and Classification tasks from BraTS 2025 under the supervision of Dr. Mohammad Yaqub and submitted two short papers to MICCAI 2025 in Daejeon, South Korea • Orchestrated our 6 group members to prepare for the project presentation day and won the Best Team award

Research Intern (Acceptance rate 0.07%)

Institute of Smart Systems and Artificial Intelligence

Trained object-detection models on 21,000+ images across 239 classes and prepared nutrition data for a dietary-advice RAG system.

• Trained YOLOv8x and RT-DETR models on a dataset of 21,000+ images and 239 classes through Docker container to accurately classify Central Asian food items on live visual translations • Scrapped and preprocessed textual nutritional information on 50+ Central Asian food classes to build a dataset for RAG implementation in dietary advice, improving the consistency of meal plan recommendation • Presented project progress in daily meetings using visual representations of conducted experiments to shape the project’s subsequent research trajectory

Volunteer

Mereke Charitable Foundation

Volunteers with the foundation and has participated in 14 charitable activities supporting vulnerable groups.

• Participated in 14 charities, assisting vulnerable groups and promoting social welfare

Bachelor of Science, Mathematics

Nazarbayev University, School of Sciences and Humanities

High School Diploma with distinction (“Altyn Belgi”)

National School of Physics & Math (FIZMAT)