AI Engineer · Robotics & Software Developer · CS/CTE Educator, based in Denver, Colorado.
Open to collaboration

I hold a Master's in Atmospheric Science and spend my days across AI, machine learning, robotics, and full-stack software. I train neural networks, build ROS2 robots, ship Next.js apps, and program ESP32, Arduino, and Raspberry Pi hardware.
On the teaching side I design standards-aligned, project-based curriculum and mentor learners at every level: K-12, higher education, and working professionals in industry, with a track record of lifting student proficiency to 91% through project-based learning.
Specialties
Building agentic AI systems and AI agents with Claude, ChatGPT, CrewAI, LangChain, and LangGraph, and shipping faster with coding agents like Claude Code and Codex. From multi-agent pipelines to production AI tools for real users.
End-to-end ML pipelines with TensorFlow, PyTorch, and Scikit-Learn. Applied to atmospheric science, education analytics, and real-world prediction systems.
Full-stack robotics from microcontroller to autonomous robot. ROS2 systems, ESP32 & Arduino circuits, Raspberry Pi projects, and IoT sensor networks.
Production-grade full-stack development with Python, React, and Next.js. REST APIs, Django backends, responsive frontends, and everything in between.
Toolkit
Models, coding agents, and the frameworks I use to build agentic systems.
18 tools
From notebooks to trained models, applied to climate and education data.
15 tools
Code that reads sensors and moves hardware, from breadboard to robot.
11 tools
Production web apps, APIs, and the languages behind them.
17 tools
The everyday kit for shipping and teaching.
9 tools
Currently learning
How data actually moves between machines: from cables and switches to routing, name resolution, and keeping it all secure.
Education
Advanced research in computational atmospheric modeling, large-scale data analysis, and scientific Python. Applied ML and neural network techniques to climate data pipelines.
University of Wyoming
Foundation in atmospheric science, climate modeling, and scientific computing. Introduced to data-driven problem solving, computational research, and statistical analysis.
Kwame Nkrumah University of Science and Technology