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Jonathan Hynes
Senior engineer who builds things right
About
I'm a senior software engineer with over 20 years of experience building systems that last. I believe in doing things right the first time—refactoring as you go, focusing on performance and reliability, and not letting technical debt accumulate. I can iterate and deliver quickly, but I don't sacrifice quality for speed. My clients consistently say that quality and long-term thinking are my most attractive traits.
I spent 18 years at Data Research Group with full autonomy to design, build, and maintain systems from the ground up. I've built Navy-wide systems that have run reliably for 15+ years, led the complete modernization of a flagship SaaS platform serving 100+ organizations, and recently pioneered an AI-powered documentation platform that became critical to company growth.
My faith shapes how I approach my work—with integrity, a commitment to excellence, and a focus on building things that truly matter. Outside of code, I'm a father of four and enjoy nature photography when I can find the time.
I'm currently exploring opportunities at small, innovative companies where I can take ownership of significant projects and build something meaningful for the long haul.
Featured Projects
Medley
When I identified a critical business bottleneck in support staff training and customer onboarding due to lack of documentation, I proposed an AI-powered solution and built Medley - a platform which uses AI to auto-generate documentation from codebases and meeting transcripts. Leadership stated it was the only thing that can enable them to achieve their growth goals.
Pitch Perfect
A concept for replacing resumes with conversational AI that learns who you are through natural dialogue. Instead of applying to hundreds of jobs, you have an AI agent that deeply understands your skills, communication style, and career goals—then proactively finds opportunities and pitches you to companies with personalized narratives. The system learns from every interaction, getting smarter about what you want with each "yes" and "no." This explores how an AI jobs "operating system" could fundamentally transform the broken job search process.