
Michael DeCuire
Austin, United States
Michael DeCuire
Full stack software engineer, Software engineer
Category : Artificial intelligence (AI)
You have an idea; I have the blueprint and the tools to build it. I bridge the gap between high-level business logic and production-ready code. With a background in Computer Science and a focus on Solutions Architecture, I don't just "write code": I design systems that are cost-effective, maintainable, and built to scale from User 1 to User 100,000.
1. Full-Stack Development (The Build)
I build modern, responsive applications with a focus on type-safety and performance.
Frontend: React/Next.js, Tailwind CSS, TypeScript.
Backend: Node.js, Python (FastAPI/Django), Go.
2. Solutions Architecture (The Blueprint)
Before a single line of code is written, I ensure the foundation is solid.
Database Design: Architecting relational (PostgreSQL) and NoSQL (MongoDB, Redis) schemas for speed and data integrity.
Cloud Infrastructure: AWS/Azure/GCP setup, including serverless (Lambda/Vercel) and containerization (Docker/Kubernetes).
API Design: Building secure, well-documented RESTful and GraphQL APIs.
3. AI & Automation (The Edge)
Modernizing workflows using 2026’s best-in-class LLM integrations.
Custom LLM Implementations: Integrating OpenAI, Anthropic, or local models into existing stacks.
RAG Pipelines: Building "Chat with your Data" features using Vector Databases (Pinecone/Weaviate).
1. Full-Stack Development (The Build)
I build modern, responsive applications with a focus on type-safety and performance.
Frontend: React/Next.js, Tailwind CSS, TypeScript.
Backend: Node.js, Python (FastAPI/Django), Go.
2. Solutions Architecture (The Blueprint)
Before a single line of code is written, I ensure the foundation is solid.
Database Design: Architecting relational (PostgreSQL) and NoSQL (MongoDB, Redis) schemas for speed and data integrity.
Cloud Infrastructure: AWS/Azure/GCP setup, including serverless (Lambda/Vercel) and containerization (Docker/Kubernetes).
API Design: Building secure, well-documented RESTful and GraphQL APIs.
3. AI & Automation (The Edge)
Modernizing workflows using 2026’s best-in-class LLM integrations.
Custom LLM Implementations: Integrating OpenAI, Anthropic, or local models into existing stacks.
RAG Pipelines: Building "Chat with your Data" features using Vector Databases (Pinecone/Weaviate).
Portfolio
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
•Architected and deployed an AI-driven lead qualification engine using twilio, openAI, and Elevenlabs, resulting in a 40% increase in sales-qualified leads (SQLs) and reducing manual vetting time by 85%.
•Engineered end-to-end workflow automations via Make and n8n, streamlining operations and saving an estimated 60+ manual hours per month.
•Optimized full-funnel digital marketing strategies, leveraging Google Ads and Google Search SEO frameworks to drive a 25% improvement in conversion rates and a significant boost in organic visibility, as well as web traffic.
•Accelerated development lifecycles by utilizing Cursor for rapid prototyping and deployment of complex workflows, reducing implementation time by 30%.
•Consulted directly with business owners to audit legacy systems and implement scalable architectures that bridge the gap between manual processes and autonomous AI operations.
•Engineered end-to-end workflow automations via Make and n8n, streamlining operations and saving an estimated 60+ manual hours per month.
•Optimized full-funnel digital marketing strategies, leveraging Google Ads and Google Search SEO frameworks to drive a 25% improvement in conversion rates and a significant boost in organic visibility, as well as web traffic.
•Accelerated development lifecycles by utilizing Cursor for rapid prototyping and deployment of complex workflows, reducing implementation time by 30%.
•Consulted directly with business owners to audit legacy systems and implement scalable architectures that bridge the gap between manual processes and autonomous AI operations.
- 🇬🇧 English
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