Ryan Burch

I am a Senior/Staff-level AI/ML Engineer and Generative AI Architect with a strong focus on building production-grade, enterprise-scale intelligent systems powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-native architectures.My expertise lies in designing end-to-end AI platforms that seamlessly integrate data pipelines, vector search, and advanced reasoning systems, enabling organizations to unlock actionable insights and automate complex workflows.🔹 Core ExpertiseArchitecting LLM-powered applications with advanced prompt engineering, contextual memory, and reasoning workflowsDesigning RAG pipelines with optimized retrieval strategies, hybrid search, and embedding lifecycle managementBuilding multi-agent AI systems using LangGraph, enabling autonomous decision-making and orchestrationDeveloping real-time AI platforms using event-driven architectures (Kinesis, Kafka, Flink)Implementing AI governance frameworks including observability, auditability, traceability, and compliance (GDPR, SOX)Optimizing model performance, latency, and cost efficiency in production environments.🔹 Cloud & AI InfrastructureI specialize in deploying AI systems on AWS, leveraging:Amazon Bedrock (foundation models, orchestration, guardrails)Serverless architectures (Lambda, API Gateway)Data pipelines (Kinesis, S3, Glue)Storage systems (DynamoDB, Aurora, OpenSearch)I design systems that are:Highly scalable and fault-tolerantEvent-driven and loosely coupledSecure and compliance-ready🔹 Advanced AI EngineeringVector databases & semantic retrieval (FAISS, Pinecone, OpenSearch, Redis)Embedding optimization & re-ranking strategiesFine-tuning strategies and model adaptationAI evaluation pipelines (LangSmith, custom metrics, human-in-the-loop)Guardrails, hallucination mitigation, and safe AI deployment🔹 Software & System DesignDistributed systems & microservices architectureHigh-throughput, low-latency APIsReal-time stream processing & data engineeringScalable backend systems using FastAPI, Django, Node.jsInfrastructure as Code (Terraform, Docker, Kubernetes)