As a former Python developer, I specialized in web development and AI service integration. In my current part-time role as a Full-stack Engineer at Monobrain, I implement frontend, backend, and AI solutions. My focus is on delivering production-grade code that adheres to industry best practices and performs reliably under real-world conditions. My professional aspiration is to become an AI specialist, leveraging automation to optimize business operations. I aim to lead technical teams and mentor engineers seeking to deepen their expertise in practical AI implementation across industries. Outside of work, I enjoy reading non-fiction books and watching movies.

Before transitioning into my current role, I worked as a Machine Learning Engineer, focusing on developing chatbot models and building AI-driven solutions. Currently, I work part-time as an AI Engineer at Monobrain, where I specialize in developing AI-powered solutions. My responsibilities include OCR development, chatbot data pipelines, API performance testing, and evaluating LLM models. I thrive on solving complex AI challenges, refining machine learning pipelines, and optimizing system performance. Debugging, enhancing model accuracy, and automating workflows keep me engaged and motivated. My goal is to deepen my expertise in scalable AI solutions and cloud infrastructure, particularly in deploying LLMs and real-time AI services. I’m also passionate about developing AI-driven automation for diverse use cases across various industries. Beyond work, I enjoy exploring emerging technologies and spending time with friends.