I’m a Machine Learning Engineer with a background that combines software engineering and applied AI, which allows me to bridge the gap between research ideas and real-world products. I started my career as a front-end engineer, building scalable web platforms, and later transitioned into machine learning and AI systems, where I now focus on developing production-ready models and intelligent applications.
In my previous role, I worked on LLM-based enterprise chatbots using Retrieval-Augmented Generation (RAG), along with deploying computer vision and NLP models through MLOps pipelines using Python, FastAPI, Docker, and MLflow. I enjoy solving complex problems and turning machine learning models into reliable systems that people actually use.
What makes me unique is my combination of full-stack engineering experience, production ML deployment skills, and research-driven AI work. I’m currently looking for roles where I can build and deploy Generative AI or machine learning systems in real-world products, collaborate with strong engineering teams, and continue pushing practical applications of AI.
No skills.
No languages.