I am an AI engineer from Mongolia with a solid educational background in Software Engineering and Data Science, complemented by practical experience in both research and industry. My interests focus on developing intelligent systems in computer vision, natural language processing, multimodal models, and robotics.
Hurile is an AI engineer and researcher with a master’s degree in Data Engineering and Analytics from the Technical University of Munich. His expertise spans large language models, retrieval-augmented generation (RAG), agentic workflow, computer vision, and multimodal learning. He has hands-on experience in autonomous driving perception, ontology-based reasoning, and integrating AI models with structured knowledge systems. Combining strong software, backend, and cloud engineering skills, Hurile designs scalable, intelligent applications that bridge data-centric engineering with human-level understanding. His current interests lie at the intersection of applied AI engineering and research in embodied and physical AI systems.
Python, C++, C, MATLAB, ROS2, PyTorch, FastAPI, React, Next.js, Docker, Azure OpenAI, LangChain, LangGraph, Docker, Kubernetes, AWS, SQL, NoSQL
Computer Vision (3D Object Detection, Tracking, Sensor Fusion), NLP & LLMs, Reinforcement Learning, Ontology Learning, Multimodal Reasoning
M.Sc. in Data Engineering & Analytics; B.Eng. in Software Engineering
Developed 3D perception and fusion pipelines for autonomous driving, built LLM-based ontology and concept-tree systems at Siemens.
Multimodal learning, difussion model, ontology learning, data modelling, semantic representation, vision-language-action models.
Mongolian (native), Mandarin(native), English (C2), German (B1), Spanish(A2)
During my studies I have worked on several projects at the university as well as in industries, including autonomous driving perception, web development, robotics and ontology-based reasoning.
An AI powered job search system that uses Retrieval-Augmented Generation (RAG) to help users find relevant job postings for the ITCS München Job Fair.
Developed a web application that integrates Large Language Models (LLMs) to visualize and analyze underground water storage data, providing intuitive insights and decision-making tools.
Implemented reinforcement learning algorithms to enable autonomous agents to learn optimal policies for complex tasks in dynamic environments.
Built an advanced ontology and concept-tree system leveraging Large Language Models (LLMs) to enhance knowledge representation and reasoning capabilities for industrial applications.
"Obstructions are what you must overcome to reach your dreams; excuses are the obstacles you turn into reasons to abandon them."
Show moreI would love to hear from you! Whether you have a question, a project idea, or just want to say hello, feel free to reach out to me via email at hurile.borjigin@icloud.com.
hurile.borjigin@icloud.com