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Andrew MorrisAM
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Andrew Morris

@andrewmorris

AI systems engineer and full‑stack developer building production GenAI platforms and scalable SaaS.

United States
Message

What I'm looking for

I seek roles building production GenAI systems and scalable SaaS platforms where I can lead AI architecture, implement multi‑agent workflows, and ship reliable, tested solutions with strong DevOps practices.

I am an AI systems engineer and full‑stack developer specializing in GenAI applications, multi‑agent systems, and production‑ready AI solutions, with a strong focus on TypeScript and modern web stacks.

I architected and deployed a production SaaS platform (wizprompt.pro) serving 500+ users with 98% uptime, engineered multi‑model AI routing that cut API costs by 40%, and implemented RAG pipelines, vector embeddings, and autonomous multi‑agent workflows to accelerate content generation by 60%.

I deliver end‑to‑end solutions—from low‑latency AI voice systems with 99% order accuracy to containerized deployments with CI/CD—leveraging cloud platforms, DevOps practices, and rigorous testing to ensure reliable, scalable products.

Experience

Work history, roles, and key accomplishments

404 Technologies / WizPrompt Pro logoTP
Current

AI Systems Engineer

404 Technologies / WizPrompt Pro

Jan 2024 - Present (2 years 5 months)

Architected and deployed a production-ready Next.js SaaS platform (wizprompt.pro) serving 500+ users with 98% uptime and <2s page loads; engineered multi-model AI routing that cut API costs by 40% and implemented RAG pipelines and multi-agent workflows to reduce content generation time by 60%.

404 Technologies (Contract) logoTC

AI Voice Ordering Engineer

404 Technologies (Contract)

Oct 2023 - Aug 2024 (10 months)

Engineered a production AI voice ordering system with <500ms latency and 99% QA order accuracy, implementing real-time speech recognition, WebSocket streaming, and multi-agent NLP workflows achieving 99.8% intent classification across 150+ menu items.

Education

Degrees, certifications, and relevant coursework

SE

Self-Taught

Self-Taught, Artificial Intelligence & Software Engineering

2020 -

Activities and societies: Built production-ready GenAI applications, multi-agent systems, RAG pipelines, and full-stack SaaS platforms; continuous hands-on learning with LangGraph, AutoGen, CrewAI, OpenAI, Google Gemini, Next.js, TypeScript, Python, and cloud services.

Advanced self-directed study and practical project implementation in AI frameworks, modern web technologies, cloud platforms, and DevOps practices since 2020.

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