Liam Ellis
I am a senior software engineer specializing in AI, automation, and full-stack development with rich experience in building scalable, efficient, and innovative solutions.
About
I am a senior software engineer specializing in AI, automation, and full-stack development with rich experience in building scalable, efficient, and innovative solutions. I thrive on leveraging cutting-edge technology like AI prompt engineering, real-time systems, and cloud infrastructure to drive impactful projects and solve complex challenges. My journey has taken me through diverse industries within Software & Internet, Media & Entertainment, and Manufacturing, where I consistently deliver high-quality products and optimize workflows.
My passion lies in creating seamless integrations and intelligent automation pipelines, using technologies like Next.js, TypeScript, Python, OpenAI SDK, and cloud-native tools such as AWS and Vercel. I enjoy collaborating across teams to establish strong coding practices, lead code reviews, and improve system reliability, all while fostering a culture of excellence and continuous improvement.
- 8 years' experience
- Joined August 2025
Industry experience
- Software & Internet
- Media & Entertainment
- Manufacturing
- Professional Services
- Wholesale & Distribution
More experts in Minneapolis, United States
Work experience· 10 roles
Built a full-cycle automation pipeline for a wholesale manufacturer competing with BIC, processing over 5,000 intent records into 500+ qualified leads with geo-targeted, customized outreach. Integrated custom AI CRM enrichment features including auto-routing, deduplication, and pipeline service level agreements. Instrumented funnel visibility reporting using Playwright/Firecrawl, TypeScript/Python, Zoho CRM, Klaviyo, and Postgres.
Launched a citywide gamified loyalty platform for Restaurant Week, driving adoption with over 3,557 unique visitors and implementing real-time QR validation, leaderboards, raffles, analytics, and role-based authentication. Established row-level security by default, performance monitoring, led code reviews, and wrote launch runbooks to standardize deployments. Utilized Next.js, TypeScript, Supabase/Postgres, Clerk, Vercel, and Tailwind.
Delivered multiple Next.js landing sites and multi-brand marketing pages using generative AI and custom meta-prompt chains for rapid frontend development. Engineered one-click brand extraction to transactional email templates to streamline marketing pipelines and client onboarding. Established context engineering patterns to reduce onboarding time from days to minutes.
Education
Certifications and awards
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