Samuel Evans

United States of America

About Me

MULTI-AGENT SYSTEMS, GENERATIVE AI, AND SCALABLE CLOUD ARCHITECTURE Led development of multi-agent LLM systems using LangChain, AutoGen, and DSPy, achieving 40% faster task automation in enterprise workflows Architected RAG pipelines with Llama 3, vector DBs (Pinecone/Weaviate), and hybrid search, improving knowledge retrieval accuracy by 35% Productionized reinforcement learning models (PPO, DQN) at scale using Ray/RLlib with Kubernetes orchestration Built end-to-end AI applications with React/Next.js frontends and FastAPI/Node.js backends Designed cloud-native architectures on AWS/GCP (Lambda, ECS, Cloud Run) with Terraform IaC Optimized ML serving using Triton Inference Server and ONNX runtime, reducing latency by 50

Overview