Previously at Amazon · Abbott · Liberty Defense · Allstate
Currently: Backend Engineer @ Abbott Labs
Available now
Open to: IC · Full-time
Plano, TX
Backend engineer with 6+ years of experience building distributed systems and cloud-native microservices at scale. My foundation is in high-traffic production architecture — payment systems serving millions of users, compliance-grade APIs, and zero-downtime CI/CD pipelines. Over the past year I've deliberately shifted toward AI-native backend engineering: building platforms where LLM capabilities are infrastructure-layer components, not UI features. I treat AI tooling as an engineering multiplier and I'm most energized building the serving layers that enable AI-driven user experiences to work reliably at scale.
Available for work — let's talkRecent projects
- 01
Portfolio-Website-Builder
The Portfolio-Website-Builder is a sophisticated application designed to streamline the creation of personalized portfolios for developers. By leveraging AI-assisted features and a user-friendly interface, it enables users to generate portfolios from their GitHub repositories and resumes, enhancing their professional visibility.
- 02
AADI
AADI is a microservice-based application designed to enhance kitchen orchestration and order management through innovative features like GPS-powered dispatch and geofencing. The project leverages a modern tech stack, ensuring scalability and efficiency in operations.
- 03
AdaptiveNPC
AdaptiveNPC is a project designed to enhance player interaction through intelligent NPCs that remember player actions and respond accordingly. Built using C# and Unity, it offers a seamless integration experience with a focus on extensibility and ease of use.
- 04
VisionAPI
VisionAPI is a streamlined software project built entirely in Python, designed to deliver focused functionality through a single file. Its monolithic architecture allows for simplicity and ease of deployment.
- 05
Hear-It
Hear-It is a mobile application designed to assist the hearing impaired by providing keyword recognition and facilitating social communication for deaf individuals. With a focus on reliability and accuracy, the application has demonstrated an 88.8% accuracy in detecting name calls, making a significant impact on users' daily interactions.
- 06
Two-pass-assembler-loader
The Two-pass-assembler-loader project is a monolithic application developed entirely in Python. It serves as a foundational tool for understanding assembly language processing, showcasing the ability to handle complex tasks with a streamlined codebase.