Open to opportunities

David Nolte

@davidnolte

Senior AI Full-Stack Engineer building secure, production-grade generative and agentic AI platforms for real-world impact.

United States

Message

What I'm looking for

I’m looking to build secure, production-grade AI products end-to-end—improving accuracy and latency, shipping scalable SaaS, and mentoring teams to operationalize Generative and Agentic AI at real-world scale.

I’m a Senior AI Full-Stack Engineer with over 9 years building production-grade AI and full-stack solutions across healthcare, insurance, and retail. I specialize in architecting and deploying secure, production-grade platforms with Generative AI, Agentic AI, and NLP capabilities—delivering measurable gains in model accuracy, latency, and customer-ready SaaS.

In my recent work at Avala AI, I built a HIPAA-compliant multi-tenant AI SaaS platform and improved clinical decision-support accuracy by 35%. I also engineered a production-grade AI voice agent with FastAPI, WebRTC, and real-time STT/TTS pipelines to achieve sub-second conversational responsiveness, plus high-performance Java microservices that delivered 3× throughput and reduced critical API latency; I’ve additionally scaled insurance transaction and risk workflows, increasing throughput by 3× and reducing reconciliation errors by 60%.

Experience

Work history, roles, and key accomplishments

Senior AI Full Stack Engineer

Avala AI

Nov 2023 - May 2026 (2 years 6 months)

Built a multi-tenant, HIPAA-compliant AI SaaS platform using Python/Django, React, and LangChain, improving clinical decision-support accuracy by 35%. Engineered an AI voice agent and real-time STT/TTS pipelines, and developed high-performance Java microservices for insurance workflows.

Python Django React Lang Chain fastAPI WebRTC Spring Boot Java Redis Kafka SQL NoSQL HIPAA compliance

AI Full Stack Developer

Veritis Group

Mar 2019 - Oct 2023 (4 years 7 months)

Built AI-augmented analytics dashboards using Python/Flask, React, and NLP to generate contextual insights. Developed an embedding-driven recommendation engine and supported LLM-ready data ingestion and improved model-serving reliability across distributed systems.

Python Flask React NLP Embeddings Microservices CI CD Jenkins GitHub Actions Docker LLM Ready Data Ingestion Pipelines Distributed Systems Model Serving

Full Stack Developer

Peeklogic

Jun 2016 - Feb 2019 (2 years 8 months)

Developed internal store operations, logistics, inventory management, and analytics applications using React, Next.js, TypeScript/JavaScript, and Node.js. Built Python and Node.js data pipelines integrating POS and supply chain systems, improving reporting and reducing manual effort through internal tools and KPI dashboards.