Engineer. Veteran. Founder.
Meet Daniel Hallman.
From defense systems to everyday apps, Daniel has spent more than 15 years building software people depend on. Today, he brings that experience to practical AI, thoughtful automation, and the products he builds through Moosh Works.
Daniel Hallman
A career built around software that matters.
Daniel began building native iPhone software in 2009 and grew into technical leadership across consumer products, enterprise systems, and consulting. His work includes leading native iOS development at OpenSea and modernizing Trello at Atlassian.
At Raytheon, Daniel worked on mission-planning software for Navy unmanned aerial vehicles (UAVs) and remote pilot operating centers for the Air Force. He is a U.S. Army National Guard veteran who served honorably and previously held a Top Secret security clearance.
His experience also includes work with Penguin Random House, Apple, Google, and Cisco, along with teams in healthcare, social media, and marketing. Working across those environments has taught him to look beyond the tool: understand the people, the constraints, and what needs to work in practice.
Alongside Moosh Works, Daniel is building Untax, a property-tax software platform. His focus is the same across consulting and product work: make complex problems easier to understand, and build something useful around them.
That background shapes Moosh Works now: start with the real operating problem, separate repeatable steps from judgment, keep people in control of high-impact choices, and define how the system will be tested and owned.
Daniel leads every engagement. Focused design, data, security, or domain specialists join when the scope needs them, while the client keeps one shared plan and one technical lead.
Relevant Experience
From mission planning to consumer products.
A few of the environments Daniel has worked in. Company names describe his past professional experience, not current Moosh Works client relationships or endorsements.
How Moosh Works
Clear choices from the first call through handoff.
Start with the real work
See how the work moves, where it waits, what goes wrong, and who owns it before choosing a tool.
Use AI where it helps
Keep simple rules predictable and use AI only for work that needs interpretation.
Keep people in control
Require review and approval when a decision affects money, access, customers, or policy.
Plan for daily use
Set the tests, logs, alerts, retries, limits, ownership, and handoff before launch.
Show the math and unknowns
Put starting measures, ranges, costs, assumptions, unknowns, and confidence beside every estimate.
Recommend the smallest useful next step
End with DIY, Measure First, Optimize, Automate, or Stop. No follow-on project is required.
Working Together
Start with the Audit, then decide what comes next.
Begin with one fixed-price review. Use the report with your own team, make one process simpler with Optimize, or build a clearly defined system with Automate.
- 01Audit · $999 fixed
One operating area, with the ten-page report delivered within five business days of complete inputs.
- 02Optimize · from $3,500
Simplify the process when the Audit shows the work itself needs to change.
- 03Automate · from $7,500
Scope a tailored build when the Audit shows custom software is worth considering.
Moosh Works
Bring the Problem Your Team Keeps Working Around.
Daniel will show what is causing it, compare the options, and leave you with a clear next step.