Brian works at the intersection of machine learning, data science, and modern AI systems. He focuses on building practical AI and LLM-powered applications, exploring emerging AI tools and technologies, and creating clear, developer-focused technical content that turns complex concepts into practical knowledge.

• Data Science and Machine Learning using Python, NumPy, Pandas, scikit-learn + a bunch of other tools on demand
• Deep Learning with frameworks such as TensorFlow and PyTorch
• Artificial Intelligence, including Large Language Models, AI agents, Chatbots, and modern AI application development
• LLM APIs and AI tooling such as LangChain, Hugging Face, PineCone, Weaviate, OpenAI APIs etc
• Experimentation and prototyping of intelligent systems and data-driven applications
• Technical Writing and developer-focused content creation