Hi, my name is

Ryan Spoone.

CTO at Delivr.ai. Deterministic Identity & Person-Level Intent.

I'm the CTO of Delivr.ai, where we resolve B2B intent to real people, not accounts. I'm still hands-on. Most weeks that means Rust, Go, and the data infrastructure behind a platform serving over a billion person-level intent signals a day.

Before this I spent a decade building data platforms and leading engineering teams through rapid growth and two acquisitions. The pattern held the whole way: measure first, replace what the numbers say to replace, keep the team small and sharp. Notes from the build live at delivr.ai/engineering.

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About Me

I've always been drawn to the invisible problems—the ones that only reveal themselves at scale. How do you process a billion data points without infrastructure costs spiraling? How do you double team capacity without sacrificing quality? How do you build systems that adapt to changing needs without complete rewrites?

These are the problems that get me up in the morning.

Career Journey

Intel Corporation (2014-2017): Building the Foundation

I started my career at Intel as a Performance Engineer in the Data Center Group, where I fell in love with systems programming and performance optimization. I spent three years building benchmarking tools, analyzing CPU performance characteristics, and developing internal applications for performance comparison.

The work taught me to think at multiple levels of abstraction—from instruction-level optimization to system architecture to user experience. I built an open-source performance testing suite that's still used across the company today, and received two Intel Division Recognition Awards for my contributions.

Key lesson: The best technical work combines deep expertise with clear communication. Engineers need tools that work, and stakeholders need to understand why it matters.

Olono to InsightSquared to Mediafly (2018-2024): Scaling Through Acquisitions

I joined Olono, a pre-Series A startup, as their first dedicated backend engineer. Within 18 months, we were acquired by InsightSquared. Two years later, InsightSquared was acquired by Mediafly. I rode the journey from 10-person startup to 200+ person organization, progressing from Software Engineer to Director of Engineering.

This trajectory taught me how to build systems and teams that survive rapid growth:

  • As a Software Engineer, I built the integration framework that connected our platform to Salesforce, Zendesk, Jira, and other services—contributing to 300% customer growth
  • As a Senior/Principal Engineer, I architected ETL systems that increased data processing efficiency by 60%, enabling us to scale to 500% more customers without proportional infrastructure costs
  • As an Engineering Manager, I built Mediafly's first nearshore team and created onboarding programs that reduced ramp-up time by 50%
  • As a Director of Engineering, I led teams of 10 engineers delivering strategic projects contributing $4M ARR while implementing Agile frameworks that improved delivery predictability by 90%

Key lesson: Scaling isn't just about adding more people. It's about building systems, processes, and culture that amplify everyone's impact.

Delivr.ai (2025-Present): Person-Level Intent, Hands-On

I joined Delivr.ai as Director of Engineering and became CTO in early 2026. Delivr is a deterministic identity resolution and person-level intent platform: instead of telling B2B teams that some company is researching a topic, we tell them who is researching it, resolved to a real person.

This is the most hands-on role I've had since Intel, and the most interesting systems I've worked on:

  • A Rust data stack (DataFusion, DuckDB) that replaced Snowflake, Spark, and Airflow, processing billions of behavioral signals a day
  • An identity graph with hundreds of millions of person profiles
  • An intent API backed by over 1.2 billion person-topic signals, reimported into DynamoDB daily behind an atomic pointer swap
  • A development process where AI agents write the first pass and humans own every merge

Key lesson: the fastest infrastructure is the infrastructure you actually measure. Every replacement above started with a query, not an opinion. I write about this work at delivr.ai/engineering.

Side Project: Ouroborai

Ouroborai is my side project exploring AI-powered tools that help non-technical founders create enterprise-grade applications without writing code. Building it keeps me close to the 0-to-1 phase and to what AI-assisted development feels like from the founder's seat.

What I Care About

  • Technical Excellence with Business Impact: I believe the best engineering delivers measurable business value. Code quality matters, but what matters more is whether customers can do things they couldn't do before.
  • Building Teams That Scale: The most satisfying part of engineering leadership is watching people grow. Engineers I mentored have gone on to lead teams, architect major systems, and start their own companies.
  • Making Software Development More Accessible: Whether through better tools, clearer documentation, or AI assistance—I'm passionate about lowering barriers to building great software.

Technologies & Methodologies

  • Rust & Go
  • TypeScript (Node.js, React, Next.js)
  • Python
  • Distributed Systems
  • ETL & Data Pipelines (DataFusion, DuckDB)
  • AWS (EKS, DynamoDB, S3)
  • Identity Resolution & Intent Data
  • Microservices Architecture
  • Team Scaling
  • AI-Assisted Engineering

Outside of Work

  • Amateur Radio Operator (FCC Technician License)
  • StrongLifts 5x5 (currently working toward the 200lb milestone)
  • Gaming (World of Warcraft, Baldur's Gate 3, strategy games)
  • Reading (sci-fi, technical deep-dives, and leadership books)

Where I've Led and Achieved

Chief Technology Officer @ Delivr.ai

2025 - Present
  • Person-Level Intent Platform: Delivr.ai resolves anonymous B2B research activity to real people, not just accounts. Joined as Director of Engineering, promoted to CTO in early 2026. Hands-on across Go, Rust, and Next.js on AWS.
  • Rust Data Stack: Led the replacement of Snowflake, Spark, and Airflow with an internal Rust stack (DataFusion, DuckDB) processing billions of daily signals at a fraction of the cost.
  • Intent API: Built the partner-facing intent API: over 1.2 billion person-topic signals, rebuilt daily into DynamoDB with an atomic pointer swap.
  • AI-Assisted Engineering: AI agents implement tickets, humans review and merge, across a multi-service production platform.

Featured Work

Case Studies

These case studies represent some of my most impactful work across different contexts—scaling data infrastructure at a 200-person company, optimizing system architecture at a growth-stage startup, and building open-source tools at Intel.

Scaling Engineering at Mediafly

Led teams delivering strategic projects contributing $4M ARR while building the company's first nearshore engineering team and improving delivery predictability by 90%.

  • Node.js
  • Express
  • Redis
  • React
  • Python
  • AWS
  • Scrum
  • Kanban
60% Performance Improvement at InsightSquared

Architected ETL system redesign that enabled 500% customer growth by increasing data processing efficiency 60% while handling 40% more volume.

  • Python
  • ETL
  • ElasticSearch
  • PostgreSQL
  • Redis
  • AWS
Open-Source Performance Benchmarking at Intel

Built comprehensive benchmarking suite for x86_64 processors, adopted company-wide. Created internal CPU comparison tool with 90% user return rate.

  • Python
  • Bash
  • C
  • C++
  • React
  • Redux
  • Node.js
  • Express

Open Source & Side Projects

Server Performance Evaluation Tool
Server Performance Evaluation Tool allows easy testing of processor performance on Linux systems.
  • python3
  • benchmarking
Folder
Nodejs Template
Basic Node.js template that has linting, formatting, and other commonly used scaffolding out of the box.
  • nodejs
  • prettier
  • mocha
Folder
Fullstack Template
Fullstack template using Node.js, Express.js, and React.js (No database, uses ES Modules, ES6+)
  • nodejs
  • expressjs
  • reactjs
Folder
autocpu2006
Harness for performing SPEC CPU2006 benchmarking using GCC.
  • bash
  • cpu2006
  • gcc
ryanspoone
My GitHub profile README which is automatically updated.
  • homepage
  • github
  • nodejs
Folder
sdlc_metrics
Software Development Lifecycle Metrics
    view the archive

    What's Next?

    Let's Connect

    I'm always happy to chat with:

    • Engineering leaders discussing team scaling, architecture, or process optimization
    • Founders exploring technical challenges or looking for fractional CTO/advisor support
    • Recruiters with Director/VP Engineering opportunities at growth-stage companies
    • Anyone interested in ETL systems, performance engineering, or AI/ML product development

    Currently Open To:

    • Technical leadership roles (Director/VP Engineering) at growth-stage companies
    • Fractional CTO/advisor positions for B2B SaaS startups
    • Strategic technical consulting engagements
    • Networking conversations with fellow engineering leaders

    Location: Remote-first (currently based abroad, open to US/global opportunities)

    Response Time: I typically respond within 24-48 hours for legitimate inquiries

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