Our Machine Learning team is staying ahead with MLOps and AI
Project: Co-pilot
Our state-of-the-art generative LLM, Copilot, draws deep insights by analyzing and reasoning about your data in multiple steps. It does this by drawing wisdom from customer data, results from our other machine learning models, and knowledge about the world and combines this with its insights and suggestions, backed up with an explanation of its reasoning. This empowers you to unlock the full potential of your data, uncover concealed insights in your data and make informed decisions.
MLOps stack: LangChain, Hugging Face, PyTorch, Prophet, Scikit-learn, FastAPI, Kedro, and K8s.
Meet Yun
Yun studied Artificial Intelligence at Pohang University of Science and Technology, where they specialized in Natural Language Processing (NLP).
Why did you decide to pursue a career in Data Science / ML?
In my previous job, working with research studies, I worked on a project related to developing a chatbot to assist patients with panic disorder. Initially, the data might offer limited information, but identifying patterns within it can help people address their issues more efficiently and quickly than ever before. This project ignited my passion to delve deeper into this field, and Dema has provided me with a tremendous opportunity to pursue this ambition.
Can you tell us a bit about the most exciting project you’re currently involved in?
The most exciting project I’ve worked on is the Copilot project. We’re developing a chatbot to assist customers in gaining deeper insights into market-related decisions. This project particularly intrigued me because I could integrate knowledge from my experience in research into it. I’m eager to see the projects I’ll tackle at Dema.
Describe working at Dema in one sentence (or two)
Working at Dema signifies continual growth, as I learn something new every day. This journey has been enriched by the support and inclusivity of my colleagues.
