I work with founders and teams shipping systems that have to hold up in production — when an AI-accelerated prototype shows its seams, a codebase buckles under scale, or a problem nobody's cracked needs a senior pair of eyes. Distributed systems, connected products, real-time video, applied AI. When the problem is harder than it looked, I can debug the system underneath, name the architectural mistake, and tell you what will break in production.
AI is one thread in a broader engineering career — but it is a long one, and it's the thread people ask about most. So here's the specific history. The current wave of AI consulting is a gold rush — thick with people who discovered LLMs during the past year. My first applied-AI work was just over two decades earlier: the AI Group at Countrywide Bank in the early 2000s, building expert systems for automated property valuation and loan appraisal. Followed in 2005 by a Guinness World Record for ChessBrain — a distributed chess engine running across 2,070 machines in 50+ countries. Chess is the field AI used to measure itself against; I was building on that side of it. In the years since, the work I've been involved with has tracked the field as it widened: real-time pose analysis, speech-to-text transcription at scale, RAG pipelines, and LLM infrastructure — modalities that weren't on the table in 2005.
What that means today: when the AI-accelerated prototype starts hitting its limits, I can debug the distributed system underneath, untangle the architectural shortcut, and tell you which parts of the stack will hold up and which will break under realistic load. If you shipped fast with Cursor, Claude Code, Lovable, or v0 and you're starting to wonder whether the foundation will survive real users — I can share what I think holds up, what needs to be rebuilt, and in what order.
For businesses trying to figure out where AI actually fits — not the pitch-deck version, but the one you have to ship, support, and measure — I separate signal from theater, identify workflows where AI moves the needle, and sequence pilots before you commit the roadmap. Same twenty-five years of applied AI, pointed at a different problem.
Fractional CTO, technical diligence, board-adjacent advisory, engineering-org design. I've directly reported to CEOs and CTOs at five companies and helped prepare five profitable exits.
For founders and growth-stage teams that need senior judgment without a full-time hire.
Hands-on system design and implementation. Distributed systems, event-driven backends, AI/ML infrastructure, real-time video, IoT. I write production code — 10K+ GitHub commits and counting. Usually brought in when the problem is harder than it looked — legacy system rescues, performance bottlenecks nobody's traced, architectural decisions with real downstream cost.
For teams that need a senior engineer who can both design and build the system.
If you shipped a prototype quickly — built fast under pressure, demo-grade, or AI-accelerated — and you're worried the foundation won't hold at scale, I can do a senior-eye review: what works, what doesn't, where the landmines are, and what to fix first. Thirty years of production engineering behind the assessment, including hands-on computer vision, speech-to-text, RAG, distributed systems, and video at scale.
For founders and teams who shipped a prototype fast and want a senior read before scaling.
For established businesses assessing where AI actually fits. I help separate signal from theater, identify the specific workflows where AI would move the needle, assess integration with the systems and teams you already run, and sequence pilots before committing the budget or the roadmap. Twenty-five years of applied-AI perspective pointed at your operational reality.
For operators and teams exploring how AI fits into the business — before the roadmap, headcount, or spend.
Two smaller-scope engagements that come up often. A senior read on an in-flight project — a vendor build, an internal roadmap, a team you're not sure is tracking right — where I assess scope, architecture, people, and delivery signals and tell you where the risk actually sits. Or technical vetting before a commitment: senior engineering hires, fractional-CTO searches, or agency selection, with resume review, technical screens, and final-round sit-ins.
For founders and operators who want a second senior opinion before committing to a build, a hire, or a vendor relationship.
If your situation doesn't map cleanly to one of these, tell me anyway — we'll sort it out on the first call.
Flywheel Sports ran 42 brick-and-mortar cycling studios nationwide plus FlyAnywhere — a live and on-demand video platform streaming to connected bikes at home, in direct competition with Peloton. I directed 20 engineers building technology across the combined business: production studio automation, the video migration infrastructure (Verizon EdgeCast to Akamai during a live outage), and the systems tying the physical and digital sides together. FlyAnywhere ran on Hydra, the microservices framework I created that Flywheel later open-sourced.
FlyAnywhere was selected as one of Oprah's top picks for the 2019 Holiday Season. I subsequently supported the $25M sale of Flywheel Sports' technology to F45 Training.
Brought on as F45's SVP of Technology & Head of Engineering to help prepare for F45's successful 2021 IPO on the NYSE — I was on the floor for the opening bell. Reporting to the CTO, I led engineering teams across six locations in four countries — New York, California, Texas, Sydney, the Philippines, and Vietnam — with about a dozen direct reports from Directors through Senior Architects.
Built F45's first AWS EKS Kubernetes cluster and led a platform-wide security upgrade — a new API Gateway and authentication service that now protects every one of the 1,500 studios. Created a container-first local development environment spanning multiple languages, platforms, and stacks.
Carlos provided me invaluable support in his role as SVP of Technology & Head of Engineering. He is highly regarded by our engineering team members and was a capable SVP of Technology and Head of Engineering. If afforded the opportunity I would absolutely hire and work with him again.
Over a two-year engagement, I shipped eighty-four merged PRs (roughly 51,000 lines added) to Moose, an open-source analytical backend framework on ClickHouse and Redis. Focused on taking Moose from a single-instance framework into something that runs reliably across many servers — the coordination layer that lets multiple instances cooperate safely without stepping on each other.
Spearheaded the initial effort to deploy the platform on Kubernetes in Google Cloud, taking Moose from something that runs on a single box to a production-grade deployment spanning a cluster. Also shipped security enhancement features and ran a reliability pass that hardened the framework for real-world use.
Also brought F45 Training in as Fiveonefour's first client — a relationship carried over from my time as F45's SVP of Technology — then joined the delivery team with key code-level contributions to the Lionheart 2.0 launch. The project rebuilt F45's analytics platform on Moose to serve 50K+ daily users and process over a billion biometric data points per week.
The rebuild boosted dev velocity for user-facing analytics by 10×, cut cloud infrastructure costs by more than half, and unlocked a year-long feature backlog. Downstream at F45: +70% member satisfaction, +44% app virality, and 2.5× higher lifetime value among members engaging with the new analytics.
Founded a B2B SaaS platform for movement-based practitioners — martial arts schools, yoga and Pilates studios, dance academies, and physical-therapy practices. Developed advanced video streaming solutions built around custom video encoders that perform AI-based pose and 3D motion analysis during the encoding process, producing real-time skeleton, joint-angle, and center-of-mass overlays. Built SOMA on top: AI-based coaching analysis of 3D movement.
Built PNXPlayer, a CDN-hosted embeddable video player with multi-angle switching, hyper slow-motion, word-synced AI transcripts, and more. Built PNXCamera for Apple and Android — a mobile capture app supporting multi-angle, multi-camera shoots for 3D movement extraction. To manage the complex engineering work behind all of this, I built an advanced AI development workflow designed for agentic use, anchored by a 450-document RAG knowledge base on pgvector with hybrid semantic plus full-text search.
As a co-founder of Flywheel Sports, we prided ourselves in attracting and hiring an unusually passionate and hard working staff who cared for the business as if it were their own. Carlos is one of those people.
Carlos is a unique individual who combines a rare capability to look at a problem as a whole, at high level, and can also break it down to the smallest excruciating detail. He finds common language with senior executives who don't understand technology, while having complete respect of his developer team. At Flywheel he served as VP of Engineering, but also acted in the capacity of the CTO.
Carlos and I worked together at Skafos AI while he was our CTO. Under his leadership, our team onboarded several new engineers, undertook a significant architectural shift, and grew our customer base from 0 to several launch partners in a few months.
When an external enterprise vendor nearly wiped out all of Flywheel's online videos, Carlos developed a replacement service and migrated the missing files to an alternative cloud solution within five days. Absolutely incredible.
First distributed network in history to play against an internationally ranked human opponent in a public exhibition — ChessBrain, 2,070 machines across 50+ countries.
F45's 2021 NYSE IPO. $25M Flywheel sale to F45. Acquisitions: Estate Assist (DocuSign), IGT (GTECH, $6B), inSparq (Adiant).
Earlier consulting engagements include Activision, Disney Interactive, IBM, and Symantec.
FlyAnywhere — Flywheel Sports' connected-fitness platform — was selected as one of Oprah's top picks for the 2019 Holiday Season, beating out category leader Peloton.
Applied AI since the early 2000s: the AI Group at Countrywide Bank, distributed AI on ChessBrain, today's RAG and LLM infrastructure.
Co-authored Advanced Macromedia Flash MX ActionScript in Action (Prentice Hall, 2002) and the ChessBrain chapter in Advanced Intelligent Paradigms in Computer Games (Springer, 2007). Peer-reviewed work at IEEE CIG and ICGA Journal; writing in Linux Journal, IBM developerWorks, and O'Reilly.
RedisConf 2018, 2019, 2020 (selected as a best talk). EmpireNode 2016. BoF Linux Conference Copenhagen 2005, keynote.
GitHub commits since 2010, every one handwritten — accumulated long before AI-assisted coding became the norm. Maintainer of Hydra and other open source projects.
Twelve-plus commercial products across the career — from business applications and computer games to distributed AI, connected fitness, and movement analysis.
Member, Association for Computing Machinery and Institute of Electrical and Electronics Engineers. Member and contributor, Silicon Slopes Technical Community. Redis Stars honoree.
I take on a small number of concurrent engagements. Common shapes: fractional-CTO retainers (a few days a month), fixed-scope builds (three to six months, deliverable-based), and short advisory or diligence work (hours to weeks). We can discuss your needs during our first call.
Based in Salt Lake City, UT. I work remotely by default and travel for kick-offs, on-sites, and the occasional offsite. I've led and collaborated with engineering teams across seven countries — the US, Australia, the Philippines, Vietnam, India, Pakistan, and Ukraine.
Work where the technical problem is genuinely interesting, the team can execute, and the outcome matters. I'll pass when the fit isn't right — it protects both sides.
Thirty minutes by video or phone. No deck. Tell me what you're trying to build or untangle and where you're stuck. I'll tell you whether I can help, whether someone else is a better fit, and what next steps might look like. Book a 30-minute call.
The best way to start is a short email with two or three sentences about what you're working on, where you're stuck, and what success would look like. If you're in the Salt Lake City area, I'd love to meet up in person.
cjus@ieee.org