Johnathan Bevers
Professional Summary
Software Engineer with 5+ years of professional experience delivering production-quality, full-stack software for commercial and government clients. Comfortable across the whole stack — Java/Spring Boot and Python services, React/Vue and Next.js/Nuxt front ends, and relational data on PostgreSQL and MSSQL — with a focus on reliability, performance, and maintainability. Hands-on with cloud-native delivery on AWS and Azure using Kubernetes, Docker, and CI/CD, and a daily practitioner of AI-assisted development. M.S. in Computer Science (AI specialization) from Georgia Tech. U.S. Citizen with the ability to obtain a government clearance.
Core Skills
Experience
- Build production full-stack software end to end across a Nuxt/Vue.js front end and Python services, owning features from design through rollout and the support window after.
- Design and integrate RESTful APIs and relational data across MSSQL and PostgreSQL, from schema decisions through query tuning, for high-assurance digital identity and access-management platforms.
- Deploy and operate containerized workloads on Kubernetes across both AWS and Azure, keeping production services secure and highly available.
- Led feature work across Spring Boot services and React interfaces on a long-running enterprise program; promoted from Software Engineer I.
- Made architecture decisions optimized for the engineer who shows up six months later, not the demo, and addressed performance and reliability hotspots during feature work instead of waiting for a dedicated tech-debt sprint.
- Mentored newer engineers in design conversations and strengthened code-review culture across the team.
- Built backend services and React components inside a larger enterprise system, writing tests and docs alongside the feature rather than retrofitting them in review.
- Owned the on-call rotation for features I shipped and cut cycle time by getting design feedback before writing the PR, not after.
- Applied professional engineering practices across the full SDLC: coding standards, code reviews, Git source control, and CI/CD pipelines.
- Built features in Java for a Command & Control Android application across Agile sprints, from grooming through demo, and reduced defect rate with unit tests and small, reviewable PRs.
- Modernized a daily-driver workflow used by attorneys and judges using C#, .NET, React, and SQL — from requirements interviews through release — contributing to REST API development and relational database design.
- Built React Native features and the Node.js services behind them, and helped stand up the iOS and Android CI/CD delivery pipeline for first App Store / Play Store releases.
Projects
PatternForge — iOS App
Independently designed, built, and shipped a native iOS app for interview pattern drills with spaced repetition. Built a custom SRS scheduler, StoreKit subscription handling with restore-purchase flows, and Sign in with Apple to sync progress across devices.
Language Learning Platform — Web App
Designed and shipped a full-stack Next.js app pairing a spaced-repetition review loop with LLM-generated practice sentences. The PostgreSQL schema tracks recall at the word level so generation can target a user's weakest words, with a validation-and-retry path that recovers from bad model output instead of breaking the review.
Vanderbilt Asset Management
Led development of a MERN-stack asset-management platform for Vanderbilt University's robotics lab — REST APIs, relational schema design, and Vue.js frontend — delivering a production system with 90%+ cost reduction and day-one operational impact.