Technologies:
• Backend Engineering: Python (FastAPI, Django), Node.js (NestJS, Express), Microservices Architecture, REST, GraphQL, WebSockets, Event-Driven Systems (Kafka, Pub/Sub, AWS SQS), API Integration, OAuth2, JWT, RBAC
• Database & Caching: PostgreSQL, MongoDB, Redis, Supabase, Prisma ORM, Drizzle ORM, Data Modeling, Query Optimization
• Cloud & DevOps: AWS (ECS, Lambda, API Gateway, S3, SageMaker, Bedrock), GCP (GKE, Cloud Functions, Pub/Sub, Vertex AI), Docker, CI/CD (GitHub Actions, Jenkins), Observability (CloudWatch, Datadog)
• Frontend Engineering: React, Next.js, TypeScript, Tailwind CSS, Real-time Interfaces
• AI & Machine Learning: LLM Integration (OpenAI, Claude, Vertex AI, Llama), NLP (BERT, tokenization, embeddings, sentiment analysis), Deep Learning (CNNs), RAG Systems, Agent Frameworks (LangChain, LangGraph, LlamaIndex), Model Context Protocol (MCP), Prompt Engineering, Conversational AI (Chatbots, Voice Agents)
• AI Platforms & MLOps: AWS SageMaker, GCP Vertex AI, Azure ML, Model Deployment, Inference Optimization
• Tools & Standards: Git, Jira, Cursor, Claude Code, HIPAA, SOC 2 Type II, FHIR
Resume/CV: https://drive.google.com/file/d/1P9hfg35-R_Z17Hx8SxJM4wqRtzU...
Email: bryanmdavis25@gmail.com
Senior AI Full-Stack Engineer with 9+ years of experience designing and building scalable, production-grade systems across backend, frontend, and cloud infrastructure. Experienced in microservices, event-driven architectures, and secure API platforms, with strong expertise in integrating AI into real-world products including LLM-powered applications, RAG systems, and intelligent automation. Focused on building reliable, high-performance systems that combine strong software engineering principles with practical AI solutions to improve efficiency, scalability, and user experience.
Sincerely, Bryan Davis