Frank Palmisano

Frank Palmisano

Forward Deployed Engineer | Software Engineer

I build practical software solutions for complex, ambiguous problems across AI automation, web applications, systems integration, and mission-critical aerospace environments. My background includes six years supporting NASA ISS and Orion/Artemis programs at Honeywell, along with commercial software automation, CI/CD engineering, and modern AI-agent development.

About

I am a software engineer focused on turning difficult technical requirements into working solutions. I have experience debugging undocumented embedded systems, integrating software with flight-representative hardware, building automation frameworks, improving deployment pipelines, and presenting new engineering tools to technical leaders. I enjoy work that requires learning unfamiliar systems quickly, identifying the real problem, and owning a solution from investigation through implementation.

Featured Projects

AI Job-Matching & Workflow Agent

Claude + Playwright MCP

Built a locally operated AI agent that researches opportunities across the web, evaluates fit against structured criteria, ranks results, navigates multi-step browser workflows, tracks state to avoid duplicate processing, and produces reviewable reports. The project uses custom prompts, browser automation, and human-in-the-loop controls.

YouTube Transcript Web Application

TypeScript + React + Next.js + Vercel + Redis

Designed and deployed a customer-facing web application that accepts a YouTube URL, retrieves transcript data through an external service, and returns the transcript through a clean web interface. The application was publicly deployed on Vercel and received approximately 100 initial visits through organic Reddit traffic.

Mission-Critical Systems Engineering

NASA ISS + Orion/Artemis | Honeywell Aerospace

Supported integrated aerospace systems across embedded software, simulation, and flight-representative hardware. Diagnosed an undocumented Artemis display-unit issue by tracing behavior through embedded code and test software, locating the underlying defect, correcting related test logic, and unblocking system testing.

Technical Focus

Languages

  • C#
  • .NET
  • Python
  • TypeScript
  • JavaScript
  • SQL
  • C/C++

Web & AI

  • React
  • Next.js
  • Claude Code
  • Playwright MCP
  • AI Agents

Systems & Delivery

  • Azure DevOps
  • CI/CD
  • GitHub Actions
  • Linux
  • Simics
  • LabVIEW
  • Systems integration
  • Embedded debugging
  • Root-cause analysis
Contact

Greater Phoenix, Arizona

Available for local on-site, hybrid, and remote software engineering opportunities.

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