I am an AI engineer passionate about developing skills in machine learning, natural language processing, and leveraging large language models. With a Master's degree focused on AI and Data Science, I have a strong foundation in designing, training, and optimizing predictive models.
My most recent projects demonstrate hands-on experience applying advanced techniques like LLM agents to solve real-world problems. For example, I developed an AI application to simplify radiology reports into patient-friendly summaries using NLP and fine-tuned LLMs. This required annotating training data, then integrating the model into a teleradiology platform. The project showcased my ability to implement state-of-the-art methods and develop practical solutions.
I also have experience collaborating with cross-functional teams to productionize models, ensuring they integrate smoothly and deliver value. My software engineering skills are robust after completing projects spanning front-end development, building reusable code and libraries, and optimizing for speed and scalability.
In addition to technical abilities, I excel at guiding and mentoring team members. For example, as a freelance developer I promoted best practices related to collaboration, testing, and Agile development. I am eager to lead initiatives focused on LLMOps and share my passion for excellence with others.
With my blend of machine learning expertise, software engineering talents, and passion for implementing innovative techniques like OpenAI, I am prepared to make immediate contributions as a Machine Learning Engineer. I thrive in autonomous yet collaborative environments where I can apply my full stack of data science, engineering, and leadership skills. I am excited to bring my energy and creative problem-solving abilities to advance your team’s success.