Caleb Bowyer

About Caleb Bowyer

I’m an AI researcher and applied machine learning scientist who specializes in turning complex problems into practical, reliable, and high-impact solutions. My background spans probability theory, reinforcement learning, computer vision, LLMs, clinical outcome prediction, and retail crime detection, always with a focus on building models that are high-performant, explainable, trustworthy, and deployable in real-world environments.Across roles in healthcare, retail loss prevention, and multi-agent systems research, I’ve led end-to-end development of ML systems that improve decision quality, minimize costs, and enhance safety, efficiency, and fairness. I bring a mix of deep technical expertise (PhD in multi-agent reinforcement learning and sensor fusion) and the ability to collaborate across engineering, operations, and leadership teams to deliver measurable impact.I’m looking for opportunities in applied AI, defense tech, fintech, or healthcare ML where I can help build robust, real-world AI systems that improve decision-making, increase safety, and solve problems that truly matter. I’m especially excited about roles that leverage reinforcement learning, decision science, or advanced predictive modeling to help organizations make smarter, faster, and fairer decisions.If your team values a problem-solver who blends deep technical expertise with strong collaboration and execution, I’d love to explore how I can contribute.CORE COMPETENCIES:AI Research | Software Development and Versioning | Crime Detection and Prevention | Clinical Outcome Prediction | Retail and Healthcare Data | Agents | Reinforcement Learning | LLMs | NLP | Computer Vision | Data Science | Python | Project Leadership and Management | Stakeholder Engagement | Proposal Writing

Experience

1. Senior Technical Writer

   Medium

   May 2022 — Present

   I write technical articles focused on Python, machine learning, reinforcement learning, data science, AI engineering, and software tooling. I break down complex topics into clear, practical walkthroughs for developers and technical learners. My work includes tutorials, library deep-dives (e.g, NumPy, Pandas, PyTorch, etc.), and applied machine learning write-ups.Highlights:• Published 50+ long-form technical articles• Built a consistent readership on Medium of over 1,600 followers• Created hands-on Python examples and reproducible code snippets• Covered emerging AI/ML topics for both beginners and practitioners• Helped engineers learn faster through practical, applied content

Education

• University of Florida

  Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering

• Hampden-Sydney College

  Bachelor of Science (B.S.), Physics

• University of Florida

  Master of Science (M.S.), Electrical and Computer Engineering

• Universidad de Alcalá

  Study Abroad, Spanish