Available for startup projects

Roman Kriuchko

I help early-stage startups ship LLM products, autonomous agents, and RAG pipelines — from prototype to production.

Available for new projects · US timezone · Replies within 24h

Featured case studies

Computer Agents — Autonomous AI Agent Platform

Lead AI EngineerLangGraph, OpenAI, Anthropic, TypeScript, Next.js

10+

tool integrations per agent

Live

production platform

Multi-LLM

OpenAI + Anthropic routing

Production agent platform where users deploy autonomous workers for research, coding, and task automation.

View live project →

Foxquant — AI-Driven Quant Trading

Founding AI EngineerLangGraph, PyTorch, RAG, FastAPI, React

Real-time

analytics & backtesting

RAG

retrieval over financial data

PyTorch

forecasting models in prod

LLM-assisted strategy research and forecasting models powering a quant trading demo used by traders daily.

View live project →

JSON Scout — LLM Structured Extraction API

AI EngineerOpenAI, FastAPI, eval harnesses, prompt versioning

Schema-aware

structured JSON output

Eval-driven

prompt versioning & QA

API-first

predictable cost & latency

Schema-aware JSON extraction API replacing brittle regex pipelines with predictable latency and cost.

View live project →

Nova — AI-Native Web Platform

Full-Stack AI EngineerNext.js, Vercel, LLM workflows, streaming UI

Streaming

real-time AI UI

RAG

retrieval over user data

Production

deployed on Vercel

End-to-end AI product with retrieval over user data and a streaming React experience.

View live project →

What clients say

Roman shipped our agent orchestration and RAG pipeline fast. He thinks in products and production constraints, not just model demos.

Startup FounderAI SaaS · Seed stage

Strong end-to-end delivery — from FastAPI and eval harnesses to the React UI. Exactly what we needed to get an LLM feature into production.

Product LeadFintech · Series A

One of the few engineers who can own LLM architecture, backend APIs, and frontend UX in a single sprint. Reliable communicator.

Engineering ManagerWeb3 · Growth stage

Services

LLM Product Development

Ship AI-native features: chat, copilots, structured extraction, and workflow automation.

Autonomous Agent Systems

Design agent orchestration, tool routing, memory, and production guardrails.

RAG & Applied ML

Build retrieval pipelines, eval harnesses, and ML integrations with measurable quality.

Full-Stack Delivery

End-to-end ownership from API and models to React/Next.js UI and deployment.

How engagements work

  • Discovery call → scoped proposal
  • 2–4 week prototype sprint
  • Monthly retainer for ongoing AI product work