Kristian Vybiral is an AI Solutions Architect and product-focused engineer with nine years of experience building agentic LLM systems that run in production at multi-billion-token scale. He blends end-to-end ownership—from problem framing and architecture to prompt/system design, orchestration, observability, and rollout—while optimizing latency, cost, and reliability for revenue-driving products. At ManyChat and Replika he shipped agent pipelines, rollout/regression gates, and safety/guardrail frameworks that kept quality stable under high concurrency. A former founder who raised $2.5M and led Uitrial from prototype to production, he’s practiced at translating ambiguous user needs into shippable systems and iterating with real users. He also brings hands-on experience integrating agent workflows into developer tooling (IntelliJ) and building consumer AI products with monetization and retention loops. Based in Berkeley, his sweet spot is agent design, RAG/grounding, LLM evaluation/LLMOps, and observability for distributed Python systems.
9 years of coding experience
4 years of employment as a software developer
Berkeley SkyDeck Startup Accelerator, IPP, Berkeley SkyDeck Startup Accelerator, IPP at University of California, Berkeley
Master of Science - MSc, Computer Science: Big Data Analytics / ML-CV, Master of Science - MSc, Computer Science: Big Data Analytics / ML-CV at University of Liverpool
A Levels, A Levels at Concord College
BA, International Relations, BA, International Relations at Queen Mary University of London
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Kristian Vybiral - AI Solutions Architect at Manychat