Edward Serrano

Senior AI/ML Engineer with 8 years of experience spanning full-stack development, applied AI research, and large-scale MLOps. Specialized in Generative AI and Agentic AI systems, with hands-on expertise in fine-tuning diffusion models and LLMs (LoRA, RLHF, DiTs), building retrieval-augmented generation (RAG) pipelines, and developing multi-agent orchestration (LangChain/LangGraph + Argo) for enterprise-scale creative and conversational platforms. Proven ability to deliver production-grade reliability through GPU optimization, containerized inference (Docker, FastAPI, Kubernetes), CI/CD automation, and observability (Prometheus, Grafana). Strong track record of aligning models with human feedback and brand constraints, optimizing performance with multi-armed bandits, and cutting costs via autoscaling + request batching. Blends AI research methods with engineering rigor to drive successful launches of generative products that achieve measurable business outcomes.