Backend engineer • AI-focused software developer • Georgia Tech OMSCS student
Backend Engineer at Nadiv • Georgia Tech OMSCS (AI specialization) • Mobile + full-stack builder
I build reliable backend systems and production-ready software experiences across web and mobile. My work blends applied AI, practical architecture, and product-focused engineering to help teams ship faster with confidence.
Currently I’m a Backend Engineer at Nadiv, designing and implementing backend capabilities that support scalable, user-facing software.
Day to day I work across backend services, full-stack delivery, and mobile development, with a strong emphasis on clean architecture and dependable execution.
Next up In Georgia Tech's OMSCS program, I am specializing in AI and deepening my applied machine learning and software engineering practice.
A quick snapshot of the person behind the projects.
I’m a software engineer focused on backend development, applied AI, and end-to-end product execution. I enjoy turning ambiguous ideas into robust systems that are practical to operate and enjoyable to use.
Professionally, I work across backend services, mobile experiences, and full-stack applications while mentoring other developers and contributing to technically curious teams. I prioritize strong fundamentals, iterative delivery, and software that remains maintainable as products grow.
I collaborate best in teams that value ownership, thoughtful code review, and continuous learning. Here’s a snapshot of the stack I rely on to build dependable software products:
Current academic work and software engineering experience across backend, AI, and product delivery.
Selected industry-recognized credentials and technical certifications.
Selected projects spanning backend systems, AI-enabled tooling, and production mobile software.
TileVision turns any phone into a remodel measurement and planning tool.
Technologies: React Native, ARCore, TypeScript
Highlights: AR surface tracing, instant tile estimators, saved projects, and shareable export summaries.
A privacy-friendly Android companion for supervised driving logs.
Technologies: Java, Android SDK, SQLite
Highlights: Multi-driver profiles, GPS session logging, PDF exports, offline-first data storage.
ENMU's unofficial mobile companion app for Android/iOS.
Technologies: Flutter, Dart, Java, Swift
Features: Real-time maps, web scraping integrations, calendar widgets, athletics feed.
Shipped to a closed beta with 30+ Android users.
Full-stack platform for ENMU students to review classes and professors.
Technologies: React, Node.js, PostgreSQL
Features: Secure login, threaded discussions, and a searchable course index.
Course project focused on collaborative full-stack implementation.
Technologies: Python, Flask, HTML, CSS, Bootstrap.
Built a complete web experience including frontend flows and backend application logic.
Systems-focused project modeling network behavior through simulation.
Technologies: Python, graph algorithms, event simulation.
Implemented a discrete event simulator across 150 randomly connected nodes using DFS traversal.
Team software engineering project delivering a full booking workflow.
Technologies: Java, GlassFish, Maven, JSE.
Built user/admin application paths with emphasis on end-to-end feature delivery.
I'd love to connect with you.