Valentyn
Yakovliev

Executive Summary An exceptional, autonomous Full-Stack Product Engineer who thrives at the intersection of systems architecture, AI-driven automation, and internal platform development. This candidate serves as a strategic technical partner for non-technical teams, turning abstract operational challenges into production-ready internal tools from scratch (0 \rightarrow 1). They possess an AI-first mindset, leveraging advanced LLM tooling to accelerate engineering workflows while maintaining absolute ownership over overall product impact. 1. Technical Matrix & Architecture (Hard Skills) Category Core Competencies & Stack Backend Development TypeScript, Node.js, NestJS. Deep understanding of asynchronous patterns, event-driven architectures, and task queue management (Redis, BullMQ). Frontend Agility Commercial-grade proficiency in React. Fully framework-agnostic mindset, capable of seamlessly porting complex state-management, component lifecycles, and performance optimizations across frameworks (React, Vue, Svelte) depending on product needs. API Design Mastery of modern API contract designs: REST, gRPC, and tRPC for high-throughput, maintainable microservices and internal platform connections. Data & Infrastructure Solid experience modeling both relational and NoSQL databases (MongoDB). Strong awareness of modern quality gates, writing test automation pipelines (Playwright, Vitest), and managing scalable codebases where multiple stakeholders contribute. 2. AI-First Workflow & LLM Integration (Core Value) • 90%+ AI-Assisted Engineering: Natively integrates advanced AI development tools (Cursor, Copilot, ChatGPT, AI IDEs) into the daily programming loop. Leverages AI for rapid specification-driven scaffolding, automated test generation, and documentation—delivering features at 2x–3x the velocity of traditional workflows. • Production-Grade LLM Infrastructure: Hands-on experience integrating major AI providers (OpenAI, Anthropic Claude, Google Gemini) directly into application layers. Proficient in managing context windows, prompt engineering, structured outputs, and fallback routing strategies. • Advanced Search & Retrieval: Experience setting up RAG (Retrieval-Augmented Generation) pipelines using vector databases like Qdrant, semantic search, and prompt token cost-control mechanisms. • Automation & Internal Platforms: Proven background designing and launching customized Internal Tools (automated hiring funnels, research platforms, analytics scrapers) that directly cut operational manual overhead by up to 40%. 3. Product Mindset & Absolute Ownership • True End-to-End Ownership: Operates autonomously without a rigid pipeline of Jira tickets or pixel-perfect design handoffs. Takes vague, high-level user pain points ("The research team needs a better way to synthesize daily insights"), gathers requirements, defines the system design, codes the solution, and safely ships it to production. • Thriving in High-Ambiguity: Possesses a strong startup or rapid-growth background. Excels in fluid environments where requirements evolve fast, viewing ambiguity as an opportunity for engineering innovation rather than an obstacle. • Pragmatic Engineering Trade-offs: Strikes a calculated balance between speed-to-market and technical architecture. Knows exactly when to roll out a fast AI-powered prototype to unblock a team, and when to enforce rigid typing, strict error monitoring, and automated CI/CD safety checks before scaling company-wide. 4. Communication & Cultural Fit (Soft Skills) • Cross-Functional Translator: Excellent communication skills to work directly with non-tech internal departments (HR, Talent Acquisition, Strategy, Analysts). Competent in translating complex technical limits into plain business language and converting raw operational feedback into clear features. • Anti-Bureaucracy & Proactivity: Thrives in flat organizational structures with low friction. Rejects unnecessary red tape, proactively identifies bottlenecks across the company, and establishes self-serve playbooks or AI-enablement guidelines for the wider team.