Alfredo Acevedo

I'm a senior machine learning engineer with eleven years of experience building production ML and Generative AI systems across healthcare, retail, and consulting, with deep hands-on expertise in LLMs, RAG, embeddings, LangChain, LangGraph, PyTorch, and multi-agent architectures deployed on Azure, AWS, and Databricks. At ScienceSoft I built an LLM-powered clinical summarization platform, designed RAG workflows with Pinecone, and architected agentic triage flows that cut manual review time by roughly a third, and earlier at Target I shipped embedding-based recommendation services and ML pipelines processing millions of daily events on AWS. I'm a builder at heart, curious about emerging techniques like MCP, LLM observability, and evaluation frameworks, and I enjoy partnering with cross-functional teams to turn cutting-edge research into reliable, observable systems that deliver measurable client impact.