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Jerry Mack

Experience

Jerry Mack headshot

Marine Corps Veteran with 9+ years of experience across public and private technology sectors, including enterprise software engineering, systems support, and federal contracting environments. I bring 5 years of hands-on software engineering experience across enterprise application development, distributed systems, secure SDLC practices, and legacy system modernization.

I currently serve as a Software Engineer supporting the United States Department of Justice, contributing to the sustainment and modernization of mission-critical enterprise applications in a highly regulated federal environment. Active Secret Clearance and DOJ Public Trust. My work includes security-focused maintenance, vulnerability remediation, third-party library and API dependency upgrades, and secure delivery practices that help protect enterprise systems supporting critical government operations.

I also use agentic AI systems as part of my engineering workflow to accelerate research, analyze complex code paths, draft implementation plans, compare remediation options, and improve the quality of technical decisions. That hands-on AI engineering connects directly to my professional work in secure modernization: increasing delivery speed while preserving engineering judgment, traceability, and care for PII-sensitive federal systems. That same engineering is now leading me to design and build my own AI-enabled applications.

Current Role

Software Engineer, Department of Justice United States Trustee Program

Maintain and enhance enterprise-scale DOJ financial and case management systems built on legacy Java/Spring/Struts architectures supporting mission-critical bankruptcy and trustee operations.

  • Investigate complex dependency and deployment issues across distributed Java listener services built around message broker infrastructure and asynchronous enterprise workflows.
  • Remediate enterprise security vulnerabilities by upgrading third-party libraries, API integrations, and application dependencies while resolving compliance findings from automated security scanning platforms.
  • Improve build automation and CI/CD workflows across dependency resolution, deployment packaging, and selective test execution to strengthen build reliability and developer feedback cycles.
  • Troubleshoot application servers, messaging services, database integrations, environment configuration, and permission-driven backend and UI functionality.
  • Use agentic AI systems to reason through legacy code paths, compare remediation options, draft implementation plans, validate system design decisions, and reinforce secure coding and maintainability best practices.

Prior Federal Platform Work

Software Engineer, National Science Foundation EPSCoR / EDOCS

Delivered modernization work for NSF's EPSCoR platform, improving application stability, data workflows, access control, testing, and user-facing features under evolving federal requirements.

  • Led 90+ user-impacting enhancements and critical code fixes across Spring Boot, PostgreSQL, jOOQ, Liquibase, and core data workflows.
  • Drove Vue.js and TypeScript development with reusable components, permission-aware interfaces, accessibility improvements, and consistent user experiences.
  • Built JUnit and MockMvc test coverage, supported CI/CD delivery, improved performance troubleshooting, and helped guide user support issue triage.
  • Oversaw access control workflows for institutional users, helping enforce NSF security policies and protect sensitive platform data.
  • Supported bulk upload, reporting, and administrative workflows that helped federal users manage structured data with clearer validation, visibility, and operational control.
  • Used AI-assisted debugging and research workflows to evaluate design choices, identify full-stack issues, and keep solutions aligned with maintainable code practices.

Technologies I use across federal, enterprise, startup, and personal engineering work:

Java icon

Java

JavaScript icon

JavaScript

Python icon

Python

SQL icon

SQL

XML icon

XML

Bash icon

Bash

PowerShell icon

PowerShell

Spring Framework icon

Spring

Spring Boot icon

Spring Boot

React icon

React

Vue icon

Vue

Node icon

Node

Docker icon

Docker

Azure icon

Azure

AWS icon

AWS

Postman icon

Postman

SonarQube icon

SonarQube

Codex

OpenAI API

Gemini icon

Gemini

GitHub Copilot icon

Copilot

Git icon

Git

Bitbucket icon

Bitbucket

Bamboo icon

Bamboo

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Jira

Technical Focus

Security

Code Quality, Testing, Access & Vulnerabilities

Code

Legacy Systems, Services, Builds & APIs

Cloud

AWS, Azure Gov, CI/CD & Observability

AI

Agentic Workflows, RAG & AI API Integration

Certifications

AWS Certified Cloud Practitioner certificate

AWS Certified Cloud Practitioner

Active certification validating cloud fundamentals, AWS services, security, architecture concepts, pricing, and cloud-connected application workflows.

Azure AI Fundamentals certification

Azure AI Fundamentals / AI-900

Microsoft AI fundamentals certification covering AI workloads, responsible AI, machine learning, computer vision, NLP, and generative AI concepts.

Projects

Fit Log application screenshot

Fit Log App

Personal fitness logging application focused on structured data entry, progress tracking, and user-centered web workflows.

React Data Workflows Responsive UI
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Dice game project screenshot

Dice Game

Browser-based interaction project demonstrating event handling, state updates, and clear feedback loops for users.

JavaScript UI Logic Game State
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Mini piano project screenshot

Mack Mini Piano

Interactive front-end project using browser events and audio feedback to practice accessible, responsive controls.

JavaScript Interaction Design Accessibility
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Binary search algorithm game screenshot

Binary Search Algorithm Game

Learning tool that turns an algorithm concept into a visual workflow with immediate feedback and repeatable practice.

Algorithms Education Front-End Logic
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Heroes Guiding Heroes project screenshot

Heroes Guiding Heroes

Mission-oriented web concept focused on connecting people with useful resources through a clear, approachable interface.

UX Resource Access Web App
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Land Intelligence project screenshot

Land Intelligence Prototype

PropTech-inspired web project informed by earlier full-stack product work with user workflows, financial data, and external service integrations.

React APIs Product Workflows
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AI Engineering

My professional foundation is federal Software engineering, and my personal engineering includes AI-enabled software. I have built an OpenAI API-powered project that I plan to make public soon, and I approach AI work with the same priorities I bring to government systems: security, traceability, practical automation, and responsible handling of sensitive information.

Applied AI APIs

I build AI-backed application features using API-driven workflows, prompt design, structured inputs and outputs, and practical product boundaries that keep the software useful and accountable.

RAG & Knowledge Workflows

I design retrieval-augmented generation patterns for policy, documentation, support, and case-management contexts where AI responses should be grounded in approved source material.

Secure AI Automation

I create automation concepts that respect access controls, auditability, PII boundaries, secure SDLC practices, and the realities of legacy government systems.

Content

A featured conversation from my earlier startup and software engineering work.

Reading List

Books I use to sharpen how I think about secure engineering, modernization, AI systems, architecture, and reliable software delivery.

The Pragmatic Programmer book cover

The Pragmatic Programmer

Engineering habits, practical judgment, and maintainable code.

Clean Architecture book cover

Clean Architecture

System boundaries, dependency direction, and long-term design.

Release It book cover

Release It!

Production stability, resilience, and operational reliability.

AI Engineering book cover

AI Engineering

Building useful AI applications with responsible system design.

Designing Machine Learning Systems book cover

Designing Machine Learning Systems

ML product thinking, data workflows, and deployment tradeoffs.

A Philosophy of Software Design book cover

A Philosophy of Software Design

Complexity management and clearer software structure.

Designing Data-Intensive Applications book cover

Designing Data-Intensive Applications

Data systems, distributed architecture, and reliability patterns.

Fundamentals of Software Architecture book cover

Fundamentals of Software Architecture

Architecture styles, technical decisions, and system tradeoffs.

Contact

© Copyright Jerry Mack 2026