Publication
CE-QUIZ: AI-ASSISTED DEBUGGING IN EXAMS
Mar 1, 2026 · INTED proceedings
OpenAlex citations: 0Open
Public profile
Bogdan Suvernev
@Bogdan
I am a Computer Science graduate from City University of Hong Kong with hands-on experience in machine learning, large language models, and reinforcement learning.
Almaty, KazakhstanCity University of Hong Kong
Featured
A few things that best show this member's work and contribution.
About
I have worked as both a Research Assistant and AI Solution Engineer, developing LLM training pipelines, RAG systems, and scalable AI solutions. Passionate about advancing AI research, I enjoy building efficient deep learning systems and applying cutting-edge techniques to solve real-world problems. ------- Я выпускник City University of Hong Kong, специализирующийся на машинном обучении, больших языковых моделях (LLM) и обучении с подкреплением. Имею опыт работы исследователем и AI Solution Engineer, где занимался разработкой систем на основе LLM, RAG и масштабируемых ИИ решений. Увлечён исследованиями в области искусственного интеллекта, разработкой эффективных моделей глубокого обучения и применением передовых технологий для решения реальных задач.
Research and publications
A compact preview of this member's public research layer.
My research focuses on large language models, reinforcement learning, and AI for education. I am particularly interested in post-training methods for LLMs, including PPO, DPO, and GRPO, as well as retrieval-augmented generation (RAG), efficient model training, and reasoning capabilities. My recent work explores Socratic tutoring with LLMs, reinforcement learning for improving educational dialogue systems, and scalable distributed training of foundation models. I also have experience building diffusion models, reinforcement learning agents, and high-performance AI systems from scratch in PyTorch. I am interested in collaborating on research related to LLM alignment, reasoning, AI agents, and open-source foundation models.
Large Language Models (LLMs)Reinforcement LearningAI for EducationNLPDiffusion Models