Applied AI + Engineering Leadership
I’m Daniel. I lead Applied AI and automation work across enterprise systems, data, reporting, integrations, and internal tools. I use AI agents every day for research, prototyping, and implementation, and I stay involved in architecture and testing.
Featured work
I was leading a department meeting for about 170 people and needed an icebreaker. The tools I found could run polls and questions, but they could not create the shared experience I wanted, so I built it.
Name That Team Member · 2026
People joined from their phones while a host ran each round on a shared screen. The mystery image, reveal, scoring, and leaderboard gave the room something to enjoy together.
How AI helped
The short prompt count came from giving the agent real engineering context: product intent, architecture, constraints, acceptance criteria, test expectations, and a clear milestone for each pass.
I described the people, roles, product intent, architecture, constraints, acceptance criteria, and tests. The result was a complete working round.
Unfamiliar problem
I had not built an audio-streaming platform before. I learned the audio, networking, and browser behavior while building a system for department radio traffic.
Enterprise software · Public safety
I recognized that people could miss a transmission or need to step away, so I added ten-second replay and pause. The platform replaced third-party tooling and avoided approximately $250,000 a year.
Read the case study →
$250KANNUAL COST AVOIDEDDeterministic automation
At ABCmouse, animators repeatedly assembled the same kinds of pronunciation and spelling segments. I encoded how letters, sounds, and surrounding context selected those components, saving hundreds of hours of repetitive work.
ABCmouse · Automated Animator
The tool analyzed a word, applied contextual sound rules, chose the matching animation components, and generated the repetitive sequence. This was deterministic automation, built before modern generative AI.
TRY A WORD
Leadership
I set technical direction, lead solution and automation delivery, review approaches, coach developers and contractors, and stay close enough to the work to prototype, test, and help with the hard problems.
I lead several active initiatives across enterprise systems, data, reporting, integrations, and internal tools, including automation work that supports the company’s Workday transition.
I write engineering guidance, coach contractors, review technical approaches, and define where automated tests can carry the work and where human judgment still has to decide.
I prototype solutions, debug integrations, review architecture, pair with developers, and turn one successful implementation into patterns the team can reuse.
How I build with AI
Name That Team Member did not have a dedicated QA team. I directed an AI agent to create technical tests, exercise the system, and report defects while I kept responsibility for whether the experience felt clear, well paced, and fun.
That division is useful beyond one project. Agents can check joins, reconnects, synchronization, scoring, timing, browser behavior, regressions, load, and acceptance criteria. I decide what evidence is enough and whether the result actually solves the user’s problem.
See my GitHubI define the problem, architecture, constraints, milestone, acceptance criteria, and evidence before asking for a working slice.
The agent builds automated checks and browser journeys, looks for regressions, and turns failures into a specific next pass.
A passing test cannot tell me whether people will enjoy participating. I review the feel, pacing, clarity, and usefulness before release.
AI Lab
I use small, working experiments to understand where a new tool is useful, what can be evaluated automatically, and where the limits show up.
I’m testing image, video, and voice generation across hosted tools and local ComfyUI pipelines, with an emphasis on repeatable workflows and consistent output.
I’m refining agent workflows, critic-and-builder loops, browser QA, automated evaluation, and the boundary between machine evidence and human review.
I’m continuing to work with WebSockets, authoritative state, reconnect behavior, and backend session patterns for reliable high-concurrency experiences.
Experience
I’ve worked on early startup products, public-safety systems, and enterprise automation. Most of those jobs needed me to write software, make technical calls, and help other developers through the hard parts.
Southland Industries
I lead enterprise automation, data, and AI work, including several active initiatives and automation that supports the company’s Workday transition. I also set guidance for AI-assisted development and coach contractors.
SDI Presence / Scientia Consulting Group
I built and modernized enterprise and public-safety systems, including real-time audio, cloud services, and data workflows.
Age of Learning / ABCmouse
I led a four-person team through a major move from Flash to JavaScript and built automation and standards that improved quality, production work, and onboarding.
About
I’m a software engineer who grew into leadership without wanting to give up the interesting parts of engineering.
Outside work, that usually means board games, game systems, small hardware builds, generative art, and an unreasonable Steam library. I like projects that give me a new set of rules to understand.
Computer Information Systems, University Coursework · Best Senior Project Award
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