Summary
Daniel Napierski is an AI and blockchain consultant with eight years of focused experience and a two-decade track record of engineering roles spanning research labs, startups, and enterprise engagements. He architects production-ready machine learning pipelines and secure distributed ledger solutions, having built prototypes and deployed smart contracts across Ethereum, Bitcoin, Stellar and others. Clients have included USC, Quicken Loans, and Wolfram Research, and he pairs cutting-edge integrations (LLMs, speech, computer vision) with rigorous testing and automation to deliver reliable results. Daniel’s background includes leading open-source-style knowledge-extraction work at ISI and designing fintech and healthcare platforms that emphasized scalability, testability, and real-world impact. He combines hands-on development—from Solidity and Node.js to RESTful APIs and image processing—with product-minded consulting, often solving tricky integration challenges in distributed infrastructures. Based in Greater Boston, he brings both academic depth (Harvard MS CS) and an entrepreneurial lens demonstrated by founding a social-impact loyalty startup addressing food insecurity.
8 years of coding experience
14 years of employment as a software developer
Bachelor of Science Economics, Bachelor of Science Economics at Duke University
Online certificate course Fintech: Future Commerce, Online certificate course Fintech: Future Commerce at Massachusetts Institute of Technology
Master of Science Computer Science, Master of Science Computer Science at Harvard University