I am a Data Scientist and AI Engineer specializing in machine learning, LLM applications, blockchain analytics, and backend development.
I have built AI-powered smart-contract analysis tools that reduced manual audit time by about 60%, and I enjoy turning complex technical problems into practical data products.
My experience includes developing LLM-enabled blockchain applications and Python/Node.js microservices, with hands-on work in Web3.py and backend systems.
I have also contributed to research and analytics projects, including BP slug-detection models for offshore oil and gas facilities and a core database used to track, analyze, and visualize more than 100,000 reports.
In addition to building products, I have delivered practical machine learning training to more than 150 students and led a team to 1st place at the Belt and Road IEC in China.
I am interested in roles where I can combine AI, data science, software engineering, and applied analytics to create measurable business impact.
I work on AI and software development initiatives, building solutions that combine machine learning, backend engineering, and data-driven product development.
My work includes developing applications and services that support blockchain and analytics use cases, with an emphasis on practical implementation and measurable efficiency gains.
I led the programming department while also working as a data scientist, supporting technical education and applied data work.
During this period, I delivered practical ML training to more than 150 students and contributed to building data and web applications for competitions.
I worked on research and data science projects focused on industrial analytics and large-scale reporting systems.
I co-developed BP slug-detection models for more than 100 offshore oil and gas facilities and contributed to a core database used to track, analyze, and visualize over 100,000 reports.
B.Sc., Computer Science
B.Sc., Computer Science
M.Sc., Economic Informatics
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