I am an AI & machine learning research scientist with a decade of experience in applying AI to solve real-world problems as a research engineer across various industries. I have degrees in mathematics and finance, as well as certifications in machine learning and predictive analytics, and quantum machine learning from the University of Chicago and IBM, respectively.My core research includes language modeling, reinforcement learning, multimodal models, knowledge graphs, training and fine-tuning GPT models. I am currently building autonomous systems with reinforcement learning and state-of-the-art AI tools, such as OpenAI, HuggingFace, PyTorch, and many others. I am obsessed with the challenge of AI alignment.I have worked with different types and sizes of data, including structured and unstructured data, time series data, text data, image data, and multimodal data. I am always exploring new AI tools and libraries to stay up-to-date with the latest advancements in the field. I am also passionate about sharing and teaching what I learn to others, as well as learning from them.I am here to connect with others who are doing great things in the AI space, and to collaborate on innovative and impactful projects. If you are interested in AI, reinforcement learning, language modeling, or autonomous systems, feel free to reach out to me on LinkedIn or Twitter. I would love to hear from you.