Mark Holton

Alpharetta, GA, USA

AI Workflows & Data Pipelines → From Prototype to Production

I help teams move AI workflows and data pipelines from prototype to reliable, production systems.

Most issues aren’t in the model - they’re in the surrounding system.


Pipelines become hard to reason about, expensive to run, and unpredictable in production.

I focus on identifying where systems break down and what to fix first:

- orchestration and workflow state

- pipeline reliability and failure handling

- latency, cost, and scaling bottlenecks

Former Salesforce architect. 20+ years in distributed systems. Built event-driven systems processing billions of events monthly and led architecture for AI-driven platforms.

Mark Holton

Testimonials

  • I had the opportunity to work with Mark during a critical phase of building PharmaCast-AI. He quickly grasped a complex system of AI pipelines, data workflows, and integrations, providing clear guidance on architecture, reliability, and scalability. He identified key risks early—especially around stability and maintainability. Mark combines deep technical expertise with practical judgment. I highly recommend him for AI and data platform teams. Eric C Founder, PharmaCast-AI

    EC

    Eric Camastro

    Founder, Pharmacast-AI

Work

Experience

  • Nora Foundry

    Nora Foundry

    AI & Data Pipeline Architect

    Nov 2025 - Present

    Nora Foundry is an independent architecture practice focused on AI workflows, data pipelines, and distributed systems. I work with teams moving from prototype to production - helping stabilize systems, reduce complexity, and make them reliable to operate at scale.

    • Led architecture reviews and stabilization efforts for AI workflows and data pipeline systems moving from prototype to production
    • Identified root causes of system instability across orchestration, state management, and data flow
    • Designed event-driven and streaming architectures (Kafka, async systems) for production-scale workloads
    • Improved reliability through better failure handling, observability, and workflow design
    • Delivered clear architectural direction and stabilization roadmaps for teams under real production pressure
  • ShiftUp

    ShiftUp

    Lead Sr. Software Architect

    Apr 2025 - Oct 2025

    ShiftUp is an AI-driven intelligence platform focused on building data pipelines and workflow systems that connect external signals, structured data, and customer systems to drive decision-making.

    • Built the stakeholder intelligence pipeline from scratch - ingestion, workflow orchestration, external data (SERP/APIs), and LLM-based analysis
    • Designed systems to ingest, process, and operationalize large-scale data for real-time sales intelligence
    • Implemented multi-stage data workflows (search → extract → synthesize) producing structured, actionable outputs
    • Defined system boundaries, data flow patterns, and architecture for scalability, reliability, and future extension
    • Featured as Lead Architect in ShiftUp announcement, recognized for designing event-driven data pipelines powering AI systems at Salesforce (See announcement: https://finance.yahoo.com/news/shiftup-assembles-world-class-technical-110000845.html)
  • Salesforce

    Salesforce

    Architect / Principal Engineer

    Jul 2014 - Apr 2025

    Architect of event-driven systems, data platforms, and production-scale distributed software. At Salesforce, I spent over a decade designing and building fault-tolerant data pipelines and event-driven infrastructure powering Einstein Bots and other production systems. My work focused on systems where reliability, scale, and long-term architectural decisions matter - including pipelines processing billions of events per month in live production environments.

    • Architected and built a Kafka-based event pipeline processing 10+ Billion events/month, supporting real-time chatbot workflows
    • Designed and implemented fault-tolerant consumers (circuit breakers, bulkheads, retry queues, exponential backoff) for production reliability
    • Built real-time analytics pipelines using Kafka Streams for chatbot performance and behavioral insights
    • Early member of the Einstein Chatbots team, helping take the platform from 0 → large-scale production adoption
    • Designed and implemented backend services (Java, Spring Boot) and integrations across Salesforce APIs (REST, Bulk, Apex, Flow)
    • Contributed to team growth through hiring, mentoring, and establishing engineering practices
  • Desk.com

    Desk.com

    Lead Member of Technical Staff

    Jun 2014 - Jul 2018

    Desk.com was a customer support platform serving fast-growing businesses, where I led analytics and data engineering bridging the core application and real-time analytics systems.

    • Built a real-time customer service analytics pipeline using Kinesis and distributed consumers to process high-volume event data
    • Designed and implemented streaming data workflows to transform and aggregate support interactions into actionable insights
    • Developed backend systems supporting large-scale request handling (360k+ requests/min), improving system throughput and reliability
    • Built integration layers between application services and Elasticsearch for efficient query and data access patterns
  • LiquidPlanner

    LiquidPlanner

    Senior Software Engineer

    Jan 2011 - Jul 2014

    LiquidPlanner (now Tempo.io) was a project management platform where I joined as the 5th engineering hire, building core product features and backend systems from early-stage through growth.

    • Early engineering team member (5th hire), owning full-stack feature development from design through production
    • Built end-to-end product features across frontend, backend, and data layers in a growing SaaS platform
    • Designed and implemented PostgreSQL full-text search across core data models, enabling fast, scalable querying across application entities
    • Open-sourced an “InfiniScroll” jQuery plugin (50+ GitHub stars), used to support scalable front-end data loading patterns
  • AT&T

    AT&T

    Principal - Technology Security

    May 2007 - Feb 2011

    Built internal security and identity systems for AT&T’s Chief Security Office, supporting large-scale enterprise operations.

    • Led a team of 5 engineers (database and web developers) building internal security and identity systems
    • Designed and delivered identity and access management applications used by hundreds of thousands of AT&T employees
    • Built web applications supporting enterprise-scale security workflows across authentication, authorization, and access control
    • Owned system design and delivery across backend, database, and application layers in a high-trust environment
  • Peak Systems (now UpTop)

    Peak Systems (now UpTop)

    Web Application Developer

    Jul 2006 - Jun 2007

    Peak Systems (later rebranded as UpTop) was a web and mobile development firm building consumer and enterprise applications, recognized for high-quality product and UX work.

    • Built full-stack, n-tier web applications across database, backend, and frontend layers using ColdFusion and relational databases
    • Delivered solutions for enterprise telecom (Qwest/CenturyLink) and startup clients (Skillshow)
    • Contributed to production web and internal systems in a client-services environment with multiple concurrent projects
  • Boeing

    Boeing

    Web Application Developer

    Dec 2004 - Aug 2006

    Built internal systems supporting operational workflows for the 787 program, improving efficiency and reducing processing time at global scale.

    • Transformed a 7-stage paper-based onboarding workflow into a software-driven system for the 787 program
    • Reduced processing time for global onboarding applications from 30+ days to under 5 days
    • Built internal web applications supporting distributed teams and operational workflows across multiple regions
    • Developed full-stack solutions across backend, database, and user interface layers
  • MicroVision®

    MicroVision®

    Senior Research Engineer

    Dec 2000 - Dec 2005

    Early-stage R&D role focused on near-to-eye display systems, building software and automation infrastructure for image quality analysis and internal research workflows.

    • Sole software engineer working with a small R&D team (including PhDs) to build an automated image quality lab
    • Designed end-to-end systems spanning hardware interaction, data collection, processing, and reporting
    • Built web-based tools to distribute and visualize test results across internal teams
    • Co-inventor on 2 patents related to image processing and display systems