Teerapong Leelanupab
Team Lead
Experiences
- Senior Research Fellow: Currently serving as a research fellow specializing in data science and digital health, focusing on leveraging technology to improve outcomes in healthcare.
- IT and Data Science Director: Leading IT and data science operations, developing technology solutions, and applying data-driven strategies for health and biotechnology applications.
- Associate Professor in IT: Taught and conducted research in IT and data science with a strong emphasis on business-oriented applications and interdisciplinary innovation.
- Data Science Assistant Director: Contributed to data-driven strategies and innovation in a leadership role, applying advanced analytics to drive organizational success.
- Consultant and Engineer: Provided expertise in information systems, database design, and data warehousing to deliver scalable and efficient business technology solutions.
- Special Lecturer and Trainer: Delivered specialized training and lectures on data science, IT, and business technologies to professionals and academic institutions.
Areas of Expertise and Tools
Areas of Expertise
Tools
I bring extensive expertise in AI and software engineering project management, excelling in defining project scope, timelines, and deliverables. Skilled in Agile methodologies, I manage projects using frameworks like Scrum, Lean, and Kanban, ensuring adaptability and efficiency. My expertise includes stakeholder communication, risk management, resource allocation, and requirement elicitation using tools like Jira and Confluence. With a strong background in AI model lifecycle management, I oversee end-to-end AI solution development while ensuring quality assurance through rigorous testing. Additionally, I excel in leading cross-functional teams, fostering collaboration, and driving project success.
In data science and machine learning, I am proficient in data acquisition through web scraping and APIs, data wrangling, and statistical analysis. I build machine learning models for tasks like prediction, detection, and forecasting, and utilize deep learning frameworks such as PyTorch and TensorFlow for advanced solutions. My experience extends to designing efficient search engines for unstructured data and customizing large language models (LLMs) like GPT and Gemini for domain-specific applications, providing innovative solutions for complex challenges.