Professional Overview
My name is Brady Dalton, and I am a student at Stanford University pursuing a master's degree in computer science with an emphasis on artificial intelligence and distributed systems. I am expected to graduate in May 2026. I developed my abilities in software engineering, machine learning, and algorithms at Carnegie Mellon University, where I earned my Bachelor of Science in Computer Science. My work is driven by my passion for developing AI technologies, building scalable systems, and resolving difficult computational issues. I have extensive experience in software development, cloud computing, and academic research, and I like guiding interdisciplinary teams to generate innovative solutions. Through community service and mentoring, I hope to promote diversity in the tech sector while leveraging my technical expertise to advance fields like cybersecurity, artificial intelligence, and system optimization. I believe that fostering a diverse and inclusive environment is essential for driving innovation and creativity in technology. By collaborating with individuals from various backgrounds, we can tackle complex challenges and develop groundbreaking solutions that benefit society as a whole.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
