Tyler Lundeen

With over three years of experience in AI and machine learning, I specialize in designing reflexive, neuro-symbolic trading systems that integrate deep learning for market pattern recognition with symbolic reasoning for transparent decision-making. My work is focused on building intelligent agents capable of interpreting raw market phenomena and developing strategies through epistemic logic, enabling systems that reason and adapt dynamically. Leveraging tools like Python, AWS, and Coinbase API, I have successfully trained and deployed models using advanced techniques such as DQN, PPO, and LSTM while building custom benchmarks for theoretical performance validation. My mission is to create AI systems that challenge inherited abstractions, push the boundaries of reasoning, and deliver actionable insights with structural integrity.

Proactive and goal-oriented professional with excellent time management and problem-solving skills. Known for reliability and adaptability, with swift capacity to learn and apply new skills. Committed to leveraging these qualities to drive team success and contribute to organizational growth.

Detail-oriented individual with exceptional communication and project management skills. Proven ability to handle multiple tasks effectively and efficiently in fast-paced environments. Recognized for taking proactive approach to identifying and addressing issues, with focus on optimizing processes and supporting team objectives.

Demonstrates strong analytical, communication, and teamwork skills, with proven ability to quickly adapt to new environments. Eager to contribute to team success and further develop professional skills. Brings positive attitude and commitment to continuous learning and growth.