Solutions Architect, Generative AI

Personal website: https://dathong.github.io/ I am passionate about all things about data science, AI/Machine Learning & application development; and how they can be optimized with various technologies, leading to company success. My research focuses on Machine Learning & Deep Learning methodology & applications, with a particular emphasis on Interpretable Machine Learning and Natural Language Processing. Currently, I am a postdoctoral researcher at Yale University’s School of Management, working with Prof. Tong Wang and Prof. K. Sudhir on large language models (LLMs) such as GPT-3, GPT-4, and Llama 2 and 3. My projects include LLM deployment, training, fine-tuning, and prompt engineering. I am driven, resourceful, adaptable, and motivated to go above and beyond to get the job done right. I always work with my stakeholders, colleagues, and clients to achieve efficient and successful results. My areas of expertise include: Programming Languages: Python, Java, SQL, HTML/CSS, JavaScript Machine Learning Frameworks: PyTorch, TensorFlow, Scikit-learn Tools / Systems: OpenAI APIs, HuggingFace, LangChain, Cloud Computing (AWS, Google Cloud), Windows, Linux/Ubuntu, MacOS Large Language Models: ChatGPT, GPT3/4, Llama2 Industry / Professional: Agile, Scrum, Algorithm Design, Problem-Solving, Cross-Functional Teams, Data-Driven Solutions Happy to connect! You can also email me directly at hongtiendat@gmail.com. I am interested in roles as an AI/Machine Learning Researcher, Data Scientist, Machine Learning Engineer, and/or Software Engineer that could benefit from my robust professional and research experiences. I look forward to our conversation!