Lukas Hruby

Problems I solve best — because I've solved them before, at scale.

You need to get AI/LLM into a product that already works — connecting to data, workflow and people. I'll help embed it in your current system so it doesn't slow down the team or customers.

You want AI that delivers results (not just wow effect) — we'll define what "success" means, how to measure it and how to improve it. Reliability, quality control and safe behavior are part of the delivery.

You're dealing with performance, speed and cost — so it's fast for users and makes economic sense. I've optimized infrastructure for 10M+ daily requests with 90% cost savings.

You want to find the best AI opportunities in product, marketing and sales — from ideas to priorities: where AI will increase conversion, improve retention, speed up support or help with sales. I'll help with use cases, ROI and a roadmap you can deliver.

You need technical leadership that connects business and engineering — so decisions are made quickly, clearly and without scope creep. Standards, review, decision process and delivery leadership; I've built a team from 0 to 20 engineers.

You have challenges in computer vision / real-time solutions — when AI has to work "right now" in the real world. I've led a team that processed 1000+ camera streams with sub-second latency and 99%+ accuracy across >100 countries.

• Built production ML system processing real-time video from 1000+ cameras with sub-second latency and 99%+ accuracy — used in >100 countries, reduced manual monitoring by 80%
• Designed reference architecture for AI products — data pipeline → model serving → observability → governance. Systems that run reliably in production, not just in a notebook.
• Established model evaluation standards — offline eval + online metrics + regression tests. Measurable quality instead of "seems to work".
• Scaled cloud infrastructure to 10M+ daily API requests with 99.9% uptime — 90% cost savings through GPU workload and architecture optimization
• Led engineering team growth from 0 to 20 engineers (sped up delivery by 3x, established hiring system, cross-functional processes)
• Established MLOps practices enabling continuous deployment (reduced time-to-production from weeks to days, 50% faster iteration)

Transparency: I'm a co-founder/ex-CTO of GoodVision, so I'll always disclose any potential conflict and suggest alternatives when appropriate. If an existing product is a better fit than custom development, I'll say so openly.

Not sure which fits? Book a free 30-min call and we'll figure it out together.

• You need a full-time full-stack implementer — my biggest value is direction, architecture, and outcomes. I can lead, but you'll need engineers to build.
• Success requires writing most of the code — I'll lead strategy and architecture, but we should involve a dev team or agency for implementation.
• You need deep expertise in a specific framework — I'm not a framework specialist, but I can quickly evaluate and choose the right approach for your problem.

I deliver the most value where business, product, and architecture need to be aligned. Still not sure? Book a free 30-min call — no commitment, we'll figure out if it's a fit.

Whether you're integrating AI/LLM, designing production architecture, or need a fractional CTO — let's start with a conversation.

Usually respond within 24 hours.