David Nolte

Core Skills

🤖

AI & ML

Generative AI & Agentic AI
RAG Pipelines & Vector Databases
LangChain, LangGraph, LlamaIndex
Multi-Agent Systems & Autonomous Agents
NLP & Computer Vision
LLM Fine-tuning & Prompt Engineering

☁️

Cloud & AI Platforms

AWS (SageMaker, Bedrock, Lambda)
GCP (Vertex AI, Pub/Sub)
Azure (Cognitive Services, OpenAI)
WebRTC, SIP, FreeSWITCH
Real-Time STT/TTS Pipelines

⚙️

Backend Development

Python (Django, FastAPI, Flask)
Java (Spring Boot, J2EE, Hibernate)
Node.js & Serverless
Event-Driven Microservices
Kafka, Redis

🎨

Frontend Development

React & Next.js
TypeScript & JavaScript
Angular

🗄️

Databases

PostgreSQL & MongoDB
DynamoDB & Redis
Vector Stores (Pinecone, FAISS)
Supabase & Firebase

🚀

DevOps & Tools

Docker & Kubernetes
Terraform & CI/CD
GitHub Actions & Jenkins

Featured Projects

AI Voice Communication Platform

Real-time healthcare communication platform supporting 10K+ concurrent sessions with AI-powered voice routing, transcription, and automated call orchestration using WebRTC, SIP, and FreeSWITCH.

React Python WebRTC AI Voice

Healthcare LLM Platform

Multi-agent conversational AI platform using LangChain, LangGraph, and Amazon Bedrock with RAG architecture for context-aware patient engagement and clinical support automation.

LangChain AWS Bedrock RAG Vector DB

Medical Imaging & Computer Vision

AI-powered medical imaging solution using PyTorch and TensorFlow, improving diagnostic processing accuracy by 30% and accelerating review workflows for healthcare teams.

PyTorch TensorFlow Computer Vision Healthcare

Healthcare Workflow Automation

AI-powered automation platform reducing manual work by 45% across clinical and administrative processes, with ETL pipelines processing large-scale healthcare data from EHR/EMR systems.

Python FastAPI AI Automation ETL

Patient Management Platform

HIPAA-compliant healthcare platform with Next.js and TypeScript, improving scheduling efficiency by 40% through workflow automation and secure EHR/EMR data exchange.

Next.js TypeScript Node.js HIPAA

Employment History

Senior AI Full Stack Engineer

Avala AI

San Francisco, CA Nov 2023 - May 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

Irving, TX Mar 2019 - Oct 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

Leander, TX Jun 2016 - Feb 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.

Hi, I'm David Nolte

Senior AI Software Engineer