Ashlee Herken

Operator. Engineer.

Implementation Specialist.

I design and implement operational systems across software, data, and growth infrastructure.

Built SaaS platforms, automation systems, analytics pipelines, and business infrastructure used in real environments

Skynetrix • VIN Vision • CRM + Sales Systems • Growth + Brand Ops • Data Analytics
Ashlee Herken

Featured Work

Production SaaS systems shipped end-to-end — from architecture to deployment.

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Skynetrix: Multi-Tenant SaaS Backend Architecture

Multi-Tenant SaaSJWT RBACUsage-Based BillingDockerized ServicesStripe Integration

Designed and implemented a backend-first multi-tenant SaaS architecture for automotive shop operations. Built JWT-based RBAC, usage-based billing, Stripe payment orchestration, and Dockerized services with an early-stage Heroku deployment.

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VIN Vision: VIN OCR & Decode Automation Service

Google Cloud Vision APIImage PreprocessingOCR AutomationAPI IntegrationBackend Service

Built a VIN extraction and decoding service that converts uploaded vehicle images into structured vehicle data using Google Cloud Vision API and the NHTSA VIN Decoder API.

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HEM Systems: Full-Stack Marketing & Inventory Platform

Full-Stack MERNJWT AuthenticationAdmin DashboardLive DeploymentCloud Storage

Designed and deployed a full-stack marketing website and authenticated admin system for managing live vehicle inventory, customer inquiries, and operational workflows.

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Growth Ops: Full-Funnel Marketing & Revenue Attribution

Paid AcquisitionRevenue AttributionBrand DevelopmentFull-Funnel Strategy

Led end-to-end marketing strategy and execution for HEM Automotive, serving as the sole marketing function responsible for brand identity, paid acquisition, content, and revenue tracking.

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Ashlee Herken

About

I lead implementation by designing structured systems that move from ambiguity to execution with clarity. My foundation in science shaped how I approach complex problems: define assumptions, model workflows, validate outcomes, and iterate based on evidence. That analytical discipline evolved into applied statistics, operational modeling, and ultimately system architecture — where requirements become scalable, role-aware solutions.


I have operated across business and technical environments, aligning implementation with revenue impact, user adoption, and long-term maintainability. Whether directing paid acquisition tied to measurable outcomes or architecting backend systems with RBAC, billing logic, and service integrations, I own delivery end-to-end. My background is diverse, but not fragmented — it compounds into structured execution and practical leadership across complex systems.

Requirements & Systems Design
  • Translate ambiguity into structured requirements
  • Architect multi-role workflows
  • Establish validation and governance checkpoints
Applied in Skynetrix Architecture
  • Designed tenant-isolated model with JWT-based RBAC
  • Modeled quote → repair order → invoice → payment lifecycle
  • Implemented usage-based billing with Redis + BullMQ tracking
Adoption & Business Execution
  • Align implementation with revenue drivers
  • Reduce friction across operational roles
  • Optimize for time-to-value and sustained usage
Applied in HEM Automotive Growth
  • Directed paid acquisition across Facebook, Google, and Yelp
  • Tied inbound call tracking to revenue performance
  • Conducted competitive research to inform relocation strategy
Implementation Leadership
  • Own delivery from discovery through deployment
  • Design scalable, role-aware system architecture
  • Coordinate integrations across services
Applied Across Delivered Systems
  • Built and deployed MERN marketing + inventory platform (JWT admin)
  • Implemented Stripe payment and refund logic within backend services
  • Containerized with Docker and deployed early-stage versions to Heroku/Firebase

Delivery Lenses

Implementation is the throughline. These are the lenses I use to ship systems people adopt.

Implementation

Discovery → launch → adoption

I turn ambiguity into a delivery plan: clear requirements, aligned stakeholders, and workflows that hold up after go-live.

What I do
  • Discovery, workflow mapping, and success criteria
  • Milestones, risks, dependencies, and stakeholder alignment
  • Enablement: training, documentation, and stabilization
Tools & signals
DiscoveryEnablementGo-liveStakeholdersQA

From Science to Systems

The evolution from scientific analysis to structured system delivery — aligning data, engineering, and adoption.

Aug 2014 - May 2018
Scientific Foundation
Associate → B.S. in Molecular Biology & Biotechnology (Washburn University)

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