Kiryl Rusanau

Kiryl Rusanau is an indie hacker and software engineer based in Poland. After 7+ years building enterprise Java systems in FinTech (cryptocurrency custody, securities registration, banking authentication), he now builds his own products solo — with AI agents doing much of the work — and writes about agentic engineering with real numbers at rusanau.me.

No. I work as a software engineer and build my own products solo — I don't sell consulting, workshops, or contract work. If something I've built or written is useful to you, or you want to talk shop about AI agents, the best way to reach me is email ([email protected]) or LinkedIn.

A one-person company that runs on AI agents. The first product is Quibench (https://quibench.io) — CV formatting and redaction software for recruitment agencies, built and operated solo. The experiments, agent workflows, and costs behind that journey are published openly on the blog and LinkedIn.

I have production experience integrating LLM capabilities into enterprise Java applications using LangChain4j and Spring AI frameworks. This includes building RAG (Retrieval-Augmented Generation) pipelines with vector databases, implementing prompt chains for structured output parsing, and deploying conversational AI systems. My AI work spans both enterprise integrations and consumer-facing AI products.

My primary AI toolkit includes LangChain4j for Java-based LLM integration, Spring AI for enterprise Spring Boot applications, and LangGraph (Python) for multi-agent workflow orchestration. I work with various LLM providers and have experience implementing vector stores, embeddings pipelines, and production-grade prompt engineering patterns.

I follow a structured approach: designing RAG architectures for domain-specific knowledge retrieval, implementing vector embeddings with appropriate chunking strategies, building prompt chains that produce reliable structured outputs, and ensuring proper error handling and fallback mechanisms. The integration respects enterprise concerns like security, observability, and cost optimization.

I built CartSync, a conversational AI grocery planning assistant on Telegram (now completed). I'm also building Quibench (https://quibench.io) — CV formatting and redaction software for recruitment agencies that rebuilds any candidate CV into the agency's branded template and redacts contact details before client submission. Demo: https://youtu.be/16qD_FMklvA

Quibench is CV formatting and redaction software for small recruitment agencies (UK/EU). Upload any candidate CV and get a branded, anonymised, client-ready profile back in about 30 seconds — it rebuilds the CV into the agency's template, redacts contact details before client submission, and can translate in the same pass. Data is stored in the EU (AWS Frankfurt). More at https://quibench.io — demo: https://youtu.be/16qD_FMklvA

I have 7+ years of experience as a full-stack engineer with deep expertise in Java (8-21), Spring Boot ecosystem, React with TypeScript, and AWS cloud infrastructure. My background includes building microservices at scale, implementing OAuth2/OIDC authentication systems, and working with event-driven architectures using Kafka.

I spent nearly 4 years at Azati Corporation working on financial technology projects including cryptocurrency custody platforms with Fireblocks integration, securities registration systems for regulatory compliance, and banking authentication systems managing identity across multiple services. This experience shaped my understanding of security-first development and compliance requirements.

I'm based in Poland. The best way to reach me is via email at [email protected] or through LinkedIn (linkedin.com/in/rusanau). I typically respond within 24 hours.