AI developer and consultant summary
A concise, crawlable summary of who Simas Razinskas helps, what AI systems he builds, the evidence behind it, location, availability and how to get in touch.
Who I help
Product, operations and engineering teams with AI workflows, LLM prototypes, agent ideas or internal automation problems.
Teams that need a senior implementation partner — someone who builds and ships — not a strategy deck.
Problems I solve
Manual workflows that should become reliable AI-assisted systems.
LLM prototypes blocked from launch by latency, cost, retries, missing evals, provider choice or deployment.
Agent workflows that need state, approvals, human control and recovery paths before they can be trusted.
Systems I build
AI automation platforms, LLM gateways, RAG workflows, internal tools, agent task engines and production deployment paths.
Typed TypeScript, Python and Go systems with queues, observability, retries, cost controls and a handoff the team can operate.
Evidence
Twelve bilingual, anonymized case studies covering AI systems, job queues, deployment infrastructure, media pipelines and SaaS tenant isolation.
Public GitHub activity backs the private-system case studies with visible, ongoing engineering practice.
Availability
Remote consulting worldwide, or in person in Vilnius, in English or Lithuanian.
Best first step: book a short consulting call and bring the workflow, prototype or failure mode you want to improve.