Cameron Youngblood
I'm a full-stack software engineer with specialty in creating intuitive, well-crafted web applications. Most of my experience is in the realm of marketing and sales technology—quickly shipping features that meet user needs. I'm also passionate about open source and bettering the world through technology and AI.
Work
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Built serverless REST APIs for marketing and sales teams using Typescript, Node.js, AWS Lambda, and Cloudflare Workers
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Designed and built monorepo for all internal tooling and libraries using Turborepo, Typescript, React, Next.js, Vercel
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Built durable agentic AI tooling for media buying teams using LLMs, RAG, Redis, Next.js, and Node.js
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Built an image editor and image generation API using Next.js, Zustand, OpenGraph, and WebAssembly
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Built and maintained ETL pipelines using Python, AWS Lambda, AWS S3, Postgres, Clickhouse, and Serverless Framework
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Built MVP for a VC-backed startup using Typescript, Next.js, and Postgres
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Developed AI-powered tools for marketing and sales teams
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Built various performant, large-scale content sites with Next.js and headless CMS
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Built and ran experiments on Vivint's core and e-commerce websites to drive growth
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Built an internal JavaScript library for abstracting DOM manipulation, leading to faster development times and fewer bugs
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Automated experiment QA processes using Puppeteer and Playwright
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Evaluated midwest region go-to-market strategies for the Cadillac Lyriq—the brand's first all-electric vehicle
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Analyzed market trends and internal sales data to inform strategic recommendations
Education
MS in Computer Science—Georgia Tech
2022 to 2025
Atlanta, GA
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Focus: Interactive and Artificial Intelligence
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Coursework in DSA, AI, ML, NLP, HCI, and more
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Research in HCI and LLMs
BA in Advertising & Global Business—BYU
2018 to 2022
Provo, UT
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Focus: Go-to-market and brand strategy
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Developed expertise in growth marketing and design principles
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Magna Cum Laude
Projects & Open Source
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Headless lead router and form backend
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Key features: Dynamic endpoint type safety using Typescript and Zod plus durable background job execution for integrations
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200+ Stars on Github, 800+ Users, large VC backed company using it in production
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Optionated Headless CMS + Next.js starter
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Featured by Vercel as an official template
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630+ Stars on Github, several large production sites using it
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AI agents for scaling email sales outreach
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Key features: AI-assisted workflow creation, multi-domain email sending and receiving
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Built using Typescript, React, Node.js, Next.js, Cloudflare, AWS, custom mail servers, SST, Postgres, Redis, Queues, and more
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Disclaimer — this project is WIP and is not currently live
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Semantic image search engine for fashion
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Currently building using CLIP, HuggingFace, Pinecone, Next.js, TypeScript, Python