Kostiantyn H.

If you're about to make an expensive technical decision, bring me in before it becomes an expensive technical mistake. I help founders, CTOs and engineering teams solve complex software and AI problems, reduce technical uncertainty and turn difficult initiatives into clear, executable plans. I bring close to a decade of hands-on software engineering experience, combined with several years of technical leadership, architecture and delivery ownership. I’m most useful when: • an important technical initiative is moving, but nobody is fully confident in the direction • you need to validate or redesign an architecture before investing months into implementation • an AI/LLM initiative needs to move beyond a prototype and become a reliable production system • a platform has accumulated too much complexity and needs pragmatic modernisation • a project is stalled, over-engineered or carrying hidden technical risks • your team needs senior technical ownership without hiring another full-time engineering leader • you need someone who can advise at architecture level and still work directly in the codebase when necessary What I can help with: • Software architecture and system design • AI/LLM architecture and productionisation • Technical strategy and architecture reviews • Product and technical feasibility assessments • Platform modernisation and legacy system evolution • Technical audits and second opinions • Delivery recovery and engineering problem-solving • Rapid prototyping and MVP architecture • Hands-on implementation of critical components • Engineering leadership for short- and medium-term engagements My background spans backend, web, mobile, cloud and data systems. I’ve worked with TypeScript/Node.js, React, Next.js, Angular, Java, .NET, PostgreSQL, MySQL, SQL Server, Supabase, Firebase, Swift/iOS, cloud infrastructure, CI/CD and third-party integrations. I’ve also led engineering teams and worked on complex production systems in financial and operational environments, where reliability, maintainability and bad architectural decisions have very real costs. Today, alongside client work, I’m building MemoAI — an AI-powered language-learning product for iOS. I’m responsible for the product, architecture and hands-on engineering across native Swift/SwiftUI, Supabase/PostgreSQL, AI systems, subscriptions, analytics and production infrastructure. Building my own AI product keeps my technical decisions grounded in reality: latency, cost, reliability, UX, observability, data models and maintainability matter just as much as whether a demo works. My approach is pragmatic. I don’t recommend AI where a deterministic system would work better. I don’t propose a rewrite when an incremental migration is safer. I don’t introduce complexity unless it solves a real problem. The goal is always the same: fewer wrong turns, faster technical decisions, lower delivery risk and less complexity for you and your engineering team. I’m available for focused advisory work, architecture engagements and short- to medium-term hands-on involvement. If you have an important AI or engineering initiative that feels complex, risky or stuck, send me a message and tell me what you’re trying to solve.