Dan Orlando

About Dan Orlando

Innovative Full Stack Software Engineer with 15+ years of experience delivering impactful SaaS products. My technical expertise has evolved quite a bit over the years, with current focus on disruptive Generative AI and LLM application development. As a pioneer in enterprise AI implementation, I\'ve successfully bridged the gap between cutting-edge language models and practical business applications, particularly in the healthcare information space. My recent work has centered on developing sophisticated AI solutions that transform how medical professionals access and utilize critical information.My technical foundation is strengthened by formal education in Computer Science and Communications, along with industry certifications including PMP®, PMI-ACP®, and compliance expertise.I thrive at the intersection of technology innovation and practical implementation, consistently delivering solutions that drive measurable business outcomes while pushing technical boundaries.

Experience

1. Senior Software Engineer

   Internet Brands

   Jul 2024 — Present

   Led high-impact generative AI initiatives across Internet Brands and WebMD properties, driving innovation in healthcare information delivery.Deployed enterprise-scale LLM systems serving thousands of employees, enhancing productivity and information access across the organization.Architected and delivered a production agent platform end-to-end, including multi-agent orchestration, iterative evaluation/refinement quality gates, and durable persistence of outputs/metrics into downstream data models.Unified the broader personalization stack by integrating user-profile generation, recommendation-driven topic selection, embedding-based clustering, and agentic summarization into a single operational workflow that converts raw engagement/content signals into clinically coherent, reviewable topic cards at scale.Improved platform reliability and throughput post-launch by evolving execution from script-managed batching to queue-native orchestration (Celery/Redis workers, chunked concurrency controls, retry/fault-tolerance semantics, and monitoring), enabling safer high-volume runs with better observability and lower operational overhead.Spearheaded the Medscape AI Search initiative, successfully developing and implementing a superior conversational AI solution for physicians that outperformed the existing Microsoft Copilot-powered systemDesigned and implemented a comprehensive vector data ingestion strategy for Medscape\'s extensive medical content library and approved third-party professional medical sourcesCreated specialized algorithms for automated content parsing and chunking to optimize embedding generation across diverse medical content typesServed as a key member of the Internet Brands and WebMD generative AI steering committee, helping shape strategic direction and implementation priorities

Education

• Illinois State University

  B.S., Computer Science and Mass Communications

Skills

• Flex
• Enterprise Architecture
• C#
• Oop
• Jquery
• Web Applications
• Json
• Css
• Android
• User Interface
• Open Source
• Mobile Applications
• Project Management
• Web Services
• Programming
• Ruby on Rails
• Adobe Air
• Agile Methodologies
• Phonegap
• Integration
• Ajax
• Apache
• Software Engineering
• Flash
• Eai
• Web Development
• Architecture
• Amazon Web Services (Aws)
• Actionscript
• Javascript
• Html 5
• Ios Development
• Git
• Mvc
• Angular.js
• Software Development
• Java
• Ruby
• Xml
• Rest