David Nolte

Senior AI Software Engineer with over 9 years of experience building production-grade AI and full‑stack solutions across healthcare, insurance, and retail. Expert in architecting and deploying secure, production-grade platforms leveraging Generative AI, Agentic AI, NLP frameworks, and full-stack engineering across AWS, GCP, and Azure. Demonstrated success in optimizing model accuracy, reducing latency, and delivering SaaS solutions in healthcare, insurance, and retail.

Strong mentor and technical leader enabling cross-functional teams to innovate and operationalize AI products at scale.

Senior AI Full Stack Engineer

Avala AI | 11/2023 – 05/2026

• Built a multi-tenant, HIPAA-compliant AI SaaS platform leveraging Python/Django, React, LangChain, and cloud-native services, improving clinical decision-support accuracy by 35% and enabling secure, scalable enterprise adoption.

• Engineered a production-grade AI voice agent using FastAPI, WebRTC, React, and event-driven microservices to automate appointment scheduling and EHR workflows.

• Designed and deployed real-time STT/TTS pipelines using ASGI streaming, GPU-accelerated inference, and low-latency transport protocols, achieving sub-second conversational responsiveness for voice AI systems.

• Implemented high-performance Java microservices using Spring Boot, Redis, Kafka, and SQL/NoSQL stores, delivering 3× throughput improvements and reducing critical API latency.

• Built and scaled Java-based insurance platforms using Spring Boot and distributed messaging to automate transaction processing, risk evaluation, and reporting, increasing processing throughput by 3× and reducing reconciliation errors by 60%.

AI Full Stack Developer

Veritis Group | 03/2019 – 10/2023

• Built AI-augmented analytics dashboards using Python/Flask, React, and NLP pipelines to generate contextual insights dynamically, accelerating strategic decision-making for internal analytics teams.

• Developed an embedding-driven recommendation engine with Python/Django, vector similarity search, and distributed microservices, driving a 25% increase in cross-sell revenue.

• Designed and streamlined CI/CD pipelines using Jenkins, GitHub Actions, dockerized environments, and automated test suites, reducing deployment cycles and achieving consistent zero-downtime releases.

• Collaborated with data teams to implement robust LLM-ready data ingestion pipelines and improve model-serving reliability across distributed systems.

Full Stack Developer

Peeklogic | 06/2016 – 02/2019

• Developed internal applications for store operations, logistics, inventory management, and analytics using React, Next.js, TypeScript/JavaScript, and Node.js, supporting hundreds of retail locations.

• Built Python and Node.js data pipelines that integrated POS, inventory, and supply chain systems, enabling near real‑time reporting and dashboards and improving decision-making for operations teams.

• Created internal tools and dashboards that improved visibility into store‑level KPIs and reduced manual reporting effort for managers by several hours per week.

• Improved performance and reliability of legacy retail systems through refactoring, test coverage, and CI/CD (GitHub Actions, Jenkins), reducing deployment time from hours to minutes and decreasing production incidents.

• Collaborated with operations stakeholders to translate business requirements into practical technical solutions that increased store efficiency and reduced stock‑outs and overstock scenarios.

Texas Tech University

Bachelor's Degree, Computer Science · (08/2013 - 05/2016)