I’m a Full-Stack Developer with a passion for integrating AI into cutting-edge software solutions. I began my career working on backend, frontend, and database development using Java, React, SQL, CSS, HTML and Python. During my university years, I focused on machine learning, data engineering, information retrieval, data mining, and AI. My dedication to maximum performance and data safety, coupled with a keen eye for sleek frontend design, has always driven my work.At my current position, I’m implementing a Retrieval-Augmented Generation (RAG) model in our app, optimizing open-source LLMs, fine-tuning them, converting them to TensorRT-LLM engines, and deploying them on Triton Inference Server. Prioritizing local deployment on our server ensures data security without relying on external cloud services. This approach has already yielded promising results for our team.Leveraging my strong expertise in Linux and Podman (docker), I am developing production-level solutions that can run in an automated and efficient manner.Outside of my day-to-day work, I’m tinkering with a fully open-source voice assistant that not only controls my smart home features like lighting and music, but also doubles as my personal confidant. She keeps a journal, remembers my thoughts, and even nudges me with reminders—because who doesn’t need a little digital assistant with a touch of personality?