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 comprehensive tool designed to facilitate the creation of personalized portfolio websites. It leverages advanced technologies to provide features like AI-assisted portfolio generation and proof-backed claims, enhancing user experience and credibility.
- 02
AADI
AADI is a microservices-based application designed to streamline order management and dispatch in real-time. By leveraging modern technologies like AWS and a layered architecture, it enhances operational efficiency and provides a seamless user experience across web and mobile platforms.
- 03
AdaptiveNPC
AdaptiveNPC is an innovative project designed to enhance player interaction through advanced NPC behavior. By utilizing memory and pattern recognition, the project significantly improves the gaming experience, allowing NPCs to remember player actions and respond intelligently.
- 04
VisionAPI
VisionAPI is a streamlined software project developed entirely in Python, designed with a monolithic architecture. Its simplicity allows for easy maintenance and deployment, making it a valuable asset for teams seeking efficient solutions.
- 05
Hear-It
Hear-It is a mobile application designed to enhance awareness for the hearing impaired. By achieving 88.8% accuracy in detecting name calls, it provides a reliable tool for social communication among deaf individuals.
- 06
Two-pass-assembler-loader
The Two-pass-assembler-loader project is a streamlined solution developed entirely in Python, showcasing a monolithic architecture. Its simplicity and focused design enable efficient assembly and loading processes, making it a valuable tool for developers.