Open to opportunities

Lawrence Gribble

@lawrencegribble

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Senior AI full-stack developer building scalable, production-ready generative AI systems and web platforms.

United States

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What I'm looking for

I seek roles building production AI products—end-to-end model integration, scalable architectures, strong testing and DevOps—within collaborative, product-focused teams.

I am a Senior AI Full Stack Developer with 9+ years designing and deploying AI-driven applications across enterprise and consumer platforms, and 4+ years focused on generative AI, RAG, and NLP automation.

I built scalable microservices and AI pipelines—improving system performance by 40%, reducing HR and compliance query response times by 70%, and raising onboarding satisfaction by 35%—while integrating models into production systems like Siri and enterprise compliance platforms.

I combine strong frontend (React, TypeScript) and backend (Python/Django, Node.js) expertise with cloud and DevOps (AWS, Azure, GCP, Docker, Kubernetes) to deliver reliable, testable, and maintainable AI products that drive measurable business outcomes.

Experience

Work history, roles, and key accomplishments

Senior Software Engineer

Apple

Sep 2024 - Aug 2025 (11 months)

Contributed to embedding generative AI into Siri and system apps, developing REST integrations and runtime glue code that enabled production deployment of advanced ML features and improved reliability and response times.

OpenAI API Python REST APIs Large Language Models Generative AI

Senior AI Full Stack Developer

Intellectyx

Jul 2020 - Jul 2024 (4 years)

Engineered a scalable AI-driven compliance platform with microservices, improving system performance 40% and launching an RAG-based document chatbot that reduced query response times by 70% and boosted satisfaction by 35%.

Python RAG PostgreSQL PyTorch Docker

Full Stack Developer

Chairish

May 2016 - Jun 2020 (4 years 1 month)

Upgraded e‑commerce platform using MERN and Django, built reusable React component library, improved performance and reliability, and reduced bugs by 40% via unit and integration testing.