Alberto Artasanchez is a seasoned Data Scientist with 11 years of experience building production-grade AI and ML systems, currently leading the conversational AI and go-to-market strategy at Zervio.ai. He blends deep research-driven expertise in LLMs, GenAI, RAG, and PEFT finetuning with hands-on engineering using Python, PyTorch, Hugging Face, LangChain, modern vector databases, Databricks and Snowflake. His career spans enterprise-scale data architecture and ETL systems at firms like Citi, BellSouth/AT&T, and Accenture, where he delivered scalable pipelines and mentored teams. Alberto also authors practical guides on data products and LLM strategies, signaling a commitment to translating complex AI into usable data products. Known for turning unstructured text into actionable insights, he combines quantitative rigor with product sensibility to ship end-to-end solutions. Based in the New York City area, he pairs a long track record in high-throughput systems with a curiosity for agentic and generative AI use cases.
10 years of coding experience
19 years of employment as a software developer
Master of Science Artificial Intelligence, Master of Science Artificial Intelligence at Wayne State University
BA Finance Computer Science, BA Finance Computer Science at Kalamazoo College
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