Profile banner
Dylan Klein

Dylan Klein

AI Engineer, Co-Founder, and innovative problem-solver in health tech

New York, New York, United States
Joined January 2026
Favicon imagelinkedin.com
Favicon imagegithub.com
Favicon imagesubstack.com
Favicon imageeatsafe.info

Network

1.3K connections
🌐
Telstra Network IoT
💻
Software Engineering Leaders
🤖
Lorikeet AI FDE
💰
Fintech Healthtech
🌟
Lorikeet Leadership Core
🧠
AI ML Product Strategy
🤝
CX

Summary

Dylan is a dedicated entrepreneur with a strong focus on early-stage startups and product development. He co-founded EatSafe.info to address food allergy transparency in dining and was the Technical Co-Founder of DoggyDoor, where he built a functional marketplace from concept to over 1000 users, demonstrating full-stack engineering and product scaling capabilities. eatsafe+2
With a dual background in Engineering and Finance, Dylan possesses a unique blend of technical acumen and business insight. His roles at Flexpa, Lorikeet, and Telstra showcase his expertise in software engineering, cloud architecture, API integration, and leveraging AI for complex business solutions, particularly in the health tech sector. zoominfo+1
Dylan is a Forward Deployed AI Engineer at Lorikeet, where he focuses on integrating cutting-edge AI technology into client systems. His work involves bridging advanced AI solutions with existing legacy infrastructure, highlighted by contributions to designing workflows for scaling customer experience operations and applying AI to solve complex industry problems. linkedin+1
He demonstrates a deep understanding of healthcare data interoperability, as evidenced by his role as a Software Engineer at Flexpa and his technical writing on FHIR data, NPI standards, and payment code standardization. His expertise includes addressing challenges in provider data aggregation and developing normalization pipelines for consistent data handling. flexpa+1
Dylan has engaged in academic research, co-authoring a paper titled 'Mixing Human Demonstrations with Self-Exploration in Multi-agent Reinforcement Learning' during his studies at Monash University. This highlights his foundation in advanced computational concepts and their practical applications. arxiv

Work

Education

Projects

Writing

Healthcare Providers for developers

February 10, 2025

An article detailing the challenges of referencing providers in FHIR data due to reference type variance and missing/outdated information. It explains how Flexpa addresses these issues through an NPI normalization pipeline.

Favicon imageflexpa.com

Mixing Human Demonstrations with Self-Exploration in Multi-agent Reinforcement Learning

January 1, 2021

A research paper co-authored with Akansel Cosgun, investigating the effect of using human demonstration data in the context of multi-agent reinforcement learning. Published during his time at Monash University.

Favicon imagearxiv.org