IO.WORLD

Resume

Randy Hesse, M.S.

AI Product Architect

Denver, CO973.432.7060me@io.world

Summary

AI Product Architect with 18+ years in enterprise software, including 4+ years focused on AI/GenAI product development. Deep experience in automation, business process transformation, and regulated industries (healthcare, aerospace/defense, automotive, retail). Proven ability to lead cross-functional initiatives, build working AI prototypes, and translate ambiguous business needs into scalable technical architecture and product requirements. Strong in stakeholder communication, analyst relations, and 0-to-1 product ownership.

Experience

Product Solution Architect — AI Labs Team (NPI Research)

Keysight Technologies

February 2021 — Present

  • Partnered with Forrester and Gartner analyst teams to position the Eggplant product suite, contributing to top-tier quadrant placement through executive briefings, live product demonstrations, and technical Q&A on company AI vision and roadmap.
  • Developed and presented an AI product vision to internal stakeholders, outlining a DevOps-to-AIOps transformation roadmap and aligning objectives among sales, engineering, and executive teams to ensure readiness for future customer demand.
  • Acted as the key liaison between AI technology and non-technical stakeholders, simplifying automation concepts to guide customers, executives, and sales teams through the transition from manual processes to AI-driven operations.
  • Led AI product discovery and prototyping for the Eggplant suite by defining requirements, demonstrating feasibility through working proofs-of-concept, and coordinating handoff to engineering teams for production implementation.
  • Defined product requirements and developed internal prototypes for a QA toolchain using MCP-based LLMs and OmniParser for computer vision, improving engineering testing accuracy by 20%.
  • Collaborated with product managers to evaluate features based on stakeholder feedback, keeping the roadmap focused on viable, high-impact capabilities rather than scope creep.
  • Translated ambiguous business needs into structured product requirements for AI-driven automation features, including automated test case generation, reducing engineering ambiguity and accelerating delivery cycles.
  • Defined and advocated for AI features across the Eggplant product suite, working with PMs and engineering leads to scope, prioritize, and deliver AI-assisted workflows that increased user engagement.
  • Authored functional and technical requirements for AI-driven automation solutions targeting the software testing market, ensuring accuracy, feasibility, and alignment with product strategy.
  • Conceived and built the Eggplant Generator from the ground up — 0-to-1 ownership spanning workflow mapping, product spec development, and de facto PM/PO responsibilities prior to handoff to a dedicated team.

Technical Consultant — Eggplant Product Suite (DAI)

Eggplant (Professional Services)

September 2019 — February 2021 · Boulder, CO

  • Served as lead consultant and technical owner on a $6.3M, three-year enterprise contract — one of the largest in company history — managing full delivery from scoping through implementation and ongoing client success.
  • Converted manual testing workflows for clients across healthcare, automotive, retail, and aerospace/defense sectors, enabling faster, higher-volume test execution across regulated platforms.
  • Guided enterprise clients through the process and people challenges of automation adoption, diagnosing whether friction stemmed from technology, workflow, or organizational resistance, and tailoring strategy accordingly.
  • Published an industry article on automation repeatability ("A Design Pattern for Automation Repeatability") that influenced how Eggplant internally framed and communicated its automation approach across sales, consulting, and product teams.

Customer Success Manager — Eggplant Product Suite (DAI)

Eggplant (Professional Services)

April 2016 — September 2019 · Boulder, CO

  • Built and maintained enterprise account relationships through structured QBRs with defined KPIs, onsite visits, and hands-on training, driving consistent product adoption across a large client portfolio.
  • Deployed proof-of-concept environments for prospective clients and partners, translating technical capability into business value to support pre-sales evaluation and accelerate deal progression.
  • Conducted onsite and remote training for QA developers and analysts across different environments, building client-side capability and reducing dependency on professional services over time.

Technical Consultant — RES One Suite: Automation Manager & Service Store

RES Software (Professional Services)

November 2014 — November 2015

  • Designed and implemented RES Software, enhancing automation processes for over 20 customers and partners.

First/Second Level Remote Product Administrator — Paragon Clinical Application

McKesson Corporation (Support)

April 2008 — June 2014 · Broomfield, CO / Parsippany, NJ

  • Supported clinical workflow interfaces and systems: HL7, ACC, CPACS, Hemodynamics, Echo, Echo Stress, Cath, ECG Procedures, Clinical Assessments, Care Plan, Order Management, HL7 Management, Nurse Documentation, and Labor and Delivery (NICU).

Skills

Product & Strategy

  • Product discovery and roadmapping
  • Requirements definition and technical specification
  • Stakeholder alignment and executive communication
  • Analyst relations (Forrester, Gartner)
  • Pre-sales support and proof-of-concept strategy
  • DevOps to AIOps transformation frameworks

AI Product & Platform Architecture

  • Enterprise AI systems design
  • GenAI product design and prototyping
  • Testing automation platforms
  • Scalable system architecture
  • AI-driven workflow redesign

LLM & GenAI Systems

  • Retrieval-Augmented Generation (RAG)
  • LLM deployment and integration
  • Prompt engineering
  • Agentic workflows
  • Model Context Protocol (MCP) implementation

Computer Vision & OCR

  • Image recognition pipelines
  • Document processing and extraction
  • PaddleOCR and OpenCV-based solutions
  • Vision-guided RPA

Automation & Engineering

  • Python
  • RPA and OS-level scripting
  • RESTful API integration
  • DevOps pipelines and CI/CD
  • Distributed system integration
  • Self-healing automation design

Cloud, Data & Infrastructure

  • Google Cloud
  • Azure AI Services
  • Amazon Web Services
  • Vector databases
  • Database modeling and enterprise system integration

Education

Master of Science, Information Systems

University of Colorado, Denver — Denver, CO

2021 — 2023

Bachelor of Science, Computer Information Systems

New Jersey Institute of Technology — Newark, NJ

2006 — 2008

Computer Engineering (coursework)

Binghamton University — Vestal, NY

2003 — 2005

Certifications

AWS Cloud Practitioner — issued May 2023