Grigory M.

I lead AI projects from an ambiguous business request to a clear, buildable solution - and then keep the client and engineering team aligned until it ships. My focus is solution architecture, delivery leadership, and AI quality.

My highest value is not simply implementing another isolated AI feature. It is making sure that the team is building the right solution, the client understands the decisions being made, risks are discovered early, and the final product is reliable enough to use in the real world.

HOW I HELP:

• Business-to-technology alignment

I work with founders, executives, and operational teams to understand the actual business objective behind a request. I translate that objective into clear requirements, solution boundaries, priorities, acceptance criteria, and an implementation approach that engineers can realistically deliver.

• Technical delivery leadership

I lead AI and software projects from discovery and scoping through development, testing, client feedback, and launch. I coordinate engineers, maintain clarity around priorities and responsibilities, identify blockers, manage scope changes, and keep decisions moving.

• AI and LLM quality control

AI products require more than conventional functional testing. I help teams define what 'good' means for an AI system and review outputs for consistency, relevance, reliability, edge cases, misleading confidence, and business-specific failure modes.

I bring quality into the process before launch - not after users or clients discover the problems.

• Client and stakeholder communication

I regularly lead discovery calls, technical discussions, delivery updates, and difficult project conversations in English.

I explain complex technical trade-offs in practical business language, manage expectations without damaging trust, and help clients and engineering teams resolve disagreements constructively.

MY TECHNICAL BACKGROUND

I began my career in software, data, machine learning, and AI engineering. This background allows me to understand architecture, read and review technical work, challenge assumptions and estimates, and communicate with engineers without becoming an additional layer of non-technical management.