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Software Engineer with 3+ years of experience building AI-powered web and mobile applications, scalable microservices, and LLM-based systems using Go, Python, TypeScript, React, and React Native. Skilled in designing RAG pipelines, high-volume document processing systems, and real-time backend services deployed across AWS, Azure, and GCP. Known for reducing costs, improving system efficiency, and delivering production-grade AI/ML solutions. Strong in CI/CD (Jenkins, GitHub Actions), Infrastructure as Code (Pulumi, Terraform), containerization (Docker, Kubernetes), and observability (Grafana, Prometheus).…Software Engineer with 3+ years of experience building AI-powered web and mobile applications, scalable microservices, and LLM-based systems using Go, Python, TypeScript, React, and React Native. Skilled in designing RAG pipelines, high-volume document processing systems, and real-time backend services deployed across AWS, Azure, and GCP. Known for reducing costs, improving system efficiency, and delivering production-grade AI/ML solutions. Strong in CI/CD (Jenkins, GitHub Actions), Infrastructure as Code (Pulumi, Terraform), containerization (Docker, Kubernetes), and observability (Grafana, Prometheus).

Bryant Le

Software Engineer, DevOps Developer, AI Engineer, +2

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Software Engineer with 3+ years of experience building AI-powered web and mobile applications, scalable microservices, and LLM-based systems using Go, Python, TypeScript, React, and React Native. Skilled in designing RAG pipelines, high-volume document processing systems, and real-time backend services deployed across AWS, Azure, and GCP. Known for reducing costs, improving system efficiency, and delivering production-grade AI/ML solutions. Strong in CI/CD (Jenkins, GitHub Actions), Infrastructure as Code (Pulumi, Terraform), containerization (Docker, Kubernetes), and observability (Grafana, Prometheus).…Software Engineer with 3+ years of experience building AI-powered web and mobile applications, scalable microservices, and LLM-based systems using Go, Python, TypeScript, React, and React Native. Skilled in designing RAG pipelines, high-volume document processing systems, and real-time backend services deployed across AWS, Azure, and GCP. Known for reducing costs, improving system efficiency, and delivering production-grade AI/ML solutions. Strong in CI/CD (Jenkins, GitHub Actions), Infrastructure as Code (Pulumi, Terraform), containerization (Docker, Kubernetes), and observability (Grafana, Prometheus).

Available to hire

Software Engineer with 3+ years of experience building AI-powered web and mobile applications, scalable microservices, and LLM-based systems using Go, Python, TypeScript, React, and React Native. Skilled in designing RAG pipelines, high-volume document processing systems, and real-time backend services deployed across AWS, Azure, and GCP.

Known for reducing costs, improving system efficiency, and delivering production-grade AI/ML solutions. Strong in CI/CD (Jenkins, GitHub Actions), Infrastructure as Code (Pulumi, Terraform), containerization (Docker, Kubernetes), and observability (Grafana, Prometheus).

Skills

Experience Level

Expert

Expert

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Expert

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Expert

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Expert

Expert

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Expert

Expert

Intermediate

Intermediate

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Intermediate

Work Experience

Golang Backend & DevOps Engineer at HiDO Health

June 1, 2025 - Present

Architected and implemented Go backend features for a healthcare application focused on patient medication scheduling and tracking via RESTful APIs. Maintained and improved Jenkins CI/CD pipelines and AWS cloud infrastructure using Pulumi-based Infrastructure as Code to ensure stability and scalability. Collaborated with mobile (React Native), frontend, and firmware teams (ARM Cortex + PyQt) to deliver integrated feature development and deployment. Enhanced monitoring and observability by integrating Grafana and Prometheus dashboards for real-time performance metrics and health insights.

Software Engineer at Geico

July 1, 2024 - March 1, 2026

Built an LLM-driven automation system in Python using Azure OpenAI to streamline wage loss workflows for 2,000+ claims adjusters, including automated document summaries. Improved document processing efficiency by 32% using a text chunking algorithm to resolve Azure OpenAI token limit constraints on large-scale documents. Reduced Azure OpenAI GPT-4o token consumption by 54% via advanced prompt engineering and optimization to lower operational costs. Designed and deployed a scalable entity text extraction pipeline processing 80,000+ PDF documents to improve data ingestion and downstream analysis. Used AI-assisted development tools (Claude, Cursor) to accelerate prompt engineering, debugging, and code generation, improving iteration speed and code quality.

Research Assistant at University of Houston

August 1, 2023 - May 1, 2024

Engineered a cross-platform therapy chatbot mobile application using React Native and TypeScript to improve mental health accessibility. Developed a Python machine learning pipeline with PyTorch to classify abnormalities from chest X-ray images, contributing to a published medical research project. Co-authored an LLM-based NLP system paper decoding radiologists’ intentions from clinical notes, ranked Top 16 at ISBI 2024.

Software Engineer Intern at AWS

May 1, 2023 - August 1, 2023

Designed and implemented a scalable notifications microservice in Kotlin for AWS Supply Chain to enable real-time relay of critical customer feedback and system alerts. Reduced customer transaction costs by 50% by eliminating redundant RESTful API request traffic through an optimized backend solution. Enabled delivery of 33,000+ notifications for key supply chain workflows including demand plan creation and derived forecast generation, improving operational awareness.

Teaching Assistant at University of Houston

September 1, 2022 - May 1, 2023

Assisted over 240 students in mastering foundational concepts of structured procedural programming and data structures. Led weekly lab sessions and provided detailed code reviews and feedback for more than 1,100 C++ programming assignments to support strong student comprehension and outcomes.