Brian is interested in working on projects at the intersection of data science, machine learning, and modern AI systems. He enjoys building intelligent tools, experimenting with LLM-powered applications, and writing clear technical content that helps developers understand complex ideas.

• 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

# Python: making AI slightly less confused ☕
# Example LLM call using a generic client
from llm_sdk import LLMClient

client = LLMClient(api_key="YOUR_API_KEY")

def coffee_for_ai(level='strong'):
    prompt = f"Rate my need for {level} coffee to focus on AI tasks."
    response = client.generate_response(prompt)
    return response.text

print(coffee_for_ai("strong"))