Summary
Front-end Engineer with strong expertise building fast, scalable apps using React, Vue, and TypeScript. Led development of VibeCheck, a desktop security audit tool that uncovered 150+ critical AI-built app issues and cut manual review time, and created an admin platform at Trender.ai that saved $35K in expenses and boosted user-management efficiency by 30%. Proven success in fast-paced startup environments and cross-functional teams. Aiming to apply full-stack front-end skills to deliver high-impact, user-focused products.
Skills
ReactVueTauriTypeScriptReact NativeNode.jsHIPAACybersecurity toolsFront-end DevelopmentJest/EnzymeHTML/SCSS/JSSMaterial-UIFramer MotionTailwindn CSSMongo
Experience
Stealth Healthcare Startup
Software Engineer
Jul 2025 - Present
Florida, US
- Signed AWS BAA and enabled CloudTrail to establish HIPAA-compliant infrastructure for a live healthcare application handling protected health information
- Architected a custom VPC with public/private subnets across 2 availability zones, NAT Gateway, Internet Gateway, and VPC endpoints for S3 and Bedrock to keep all PHI traffic off the public internet
- Provisioned Aurora Serverless v2 (PostgreSQL) for prod and dev environments and migrated 17 tables of live patient data from Supabase using a temporary bastion EC2
- Built Lambda functions and API Gateway as the serverless backend and deployed CloudFront distributions for the React frontend across prod and dev environments
- Integrated Amazon Bedrock with Claude Haiku 4.5 and Sonnet 4.6 as the AI layer, routing all model traffic through a private VPC endpoint
- Integrated Stripe from frontend to backend, enabling recurring revenue and active paying customers
Nov 2024 - Apr 2026
Boston, MA
- Built and launched VibeCheck, a local-first desktop security audit tool for AI and no-code app builders, using Vue, Vuetify, and Jest, enabling developers to quickly identify security gaps before release
- Discovered over 150+ critical security issues found in AI-built apps using VibeCheck
- Implemented automated security scans for exposed secrets, risky prompts, and launch-blocking issues with custom scripts, reducing manual review time and preventing deployment failures
- Saved over 2,500 tokens on optimized prompts by refining prompt structures and applying token-reduction techniques, lowering API costs for users
- Designed, built, and shipped a notarized macOS desktop app end-to-end
- Created a non-technical reporting layer so non-developers can understand security risks
- Released the application via GitHub Releases using a Tauri-based desktop client built with React and TypeScript, enabling offline updates and storing all data locally on users' devices
Trender.ai
Front-end Engineer
Apr 2022 - Jan 2024
Boston, MA
- Saved $35,000 in expenses by assuming additional DevOps, technical customer support, and videography responsibilities, using Docker, CI/CD pipelines, and Jira to streamline workflows
- Built an admin platform for monitoring app usage and providing customer support within two sprints, using Vue and TypeScript, which enabled the startup to launch support features ahead of schedule
- Developed a user management system that increased team management efficiency by 30%
- Engineered integrations with Slack and Trender's API using REST endpoints and Node.js, allowing users to receive real-time notifications and sync data
DYSE
Founding Front-end Engineer
Aug 2021 - Mar 2022
Boston, MA
- Built and tested the app's frontend infrastructure that received positive and affirmative responses from beta testers and the founders in under 2 sprints
- Collaborated with the designer and CTO in peer review sessions to enhance the app's progress, leading to a more maintainable and efficient codebase using Jest/Enzyme for testing
Big Nerd Ranch
Web Development Intern
Apr 2021 - Aug 2021
Atlanta, GA
- Developed a responsive, test-driven React web application with TypeScript and Jest, consuming REST APIs from the client server; the codebase passed all unit tests and received positive stakeholder feedback
- Implemented data-validation scripts and code-review guidelines that raised data quality and reduced coding errors; presented the enhancements to stakeholders