James HamptonJH
Open to opportunities

James Hampton

@jameshampton

AI & Full Stack Engineer with 9+ years of experience.

United States

What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my AI and full-stack skills to develop impactful solutions.

I am an AI & Full Stack Engineer with over 9 years of experience in both frontend and backend systems. My expertise lies in developing cloud-native applications using cutting-edge technologies such as React.js, Python, and Golang. I have a strong passion for creating intelligent solutions and maintainable architectures that drive business success.

At Wayfair, I architected and engineered full stack AI systems, significantly improving e-commerce intelligence through innovative solutions like dynamic pricing models and recommendation engines. My work has led to a 15% increase in revenue and a 40% improvement in query resolution through the development of a context-aware customer support chatbot. I thrive in collaborative environments, supporting cross-functional teams in AI model integration and microservice design.

Previously, I contributed to Cars Commerce, Inc. and Affirm, where I designed high-availability RESTful APIs and developed data scraping systems that resulted in substantial sales uplifts. My technical skills encompass a wide range of tools and languages, allowing me to tackle complex challenges and deliver high-quality results.

Experience

Work history, roles, and key accomplishments

WA
Current

Full Stack AI Engineer

Wayfair

Dec 2020 - Present (4 years 6 months)

Architected and engineered full stack AI systems, converging Go, Python, cloud-native infrastructure, and cutting-edge LLM frameworks to power e-commerce intelligence. Engineered high-performance RESTful APIs and microservices using Go (Gin) to power e-commerce platforms.

WA
Current

Full Stack AI Engineer

Wayfair

Dec 2020 - Present (4 years 6 months)

Architected and engineered full stack AI systems, including high-performance microservices and scalable ML pipelines, leveraging Go, Python, and cloud-native infrastructure. Designed AI-driven solutions like dynamic pricing models and recommendation engines, increasing revenue by 15%, and developed a context-aware customer support chatbot, improving query resolution by 40%. Led full lifecycle deve

CI

Full Stack Engineer

Cars Commerce, Inc

May 2018 - Present (7 years 1 month)

Designed and developed a vehicle data scraping system, resulting in a 40% sales uplift, and engineered React/Redux frontend applications with companion Chrome extensions. Built Python-based web scrapers using Selenium and developed a Spark-based big data engine in Scala to optimize Amazon sales performance. Deployed microservices on AWS and later migrated to GCP, ensuring robust backend operations

AF

Full Stack Engineer

Affirm

Nov 2016 - Present (8 years 7 months)

Developed high-availability RESTful APIs for real-time financial data and engineered a cryptocurrency swap platform with end-to-end encryption. Built distributed backend systems using Python (Flask) for high-throughput financial operations and managed big data pipelines with Apache Spark on AWS EMR. Implemented 99% test coverage with PyTest and API contract tests, and built CI/CD pipelines with au

Education

Degrees, certifications, and relevant coursework

The University Of Texas At Dallas logoTD

The University Of Texas At Dallas

Bachelor's Degree, Computer Science

Completed a comprehensive curriculum in computer science, covering core principles and advanced topics. Gained foundational knowledge in programming, algorithms, and data structures relevant to modern software development.

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