Tim Tuev
01 / Professional Summary
AI Deployment Strategist with nearly a decade of cross-functional leadership in digital products, design systems, and creative direction, combined with deep hands-on AI systems R&D. Specializes in translating ambiguous business problems into robust, production-grade AI architectures: from model selection, quantization, and on-device inference to vector substrates, long-term memory, Model Context Protocol (MCP) agents, and deterministic evaluation benchmarks. Works with modern agentic workflows for rapid execution while owning architecture, experiments, metrics, and product trade-offs.
02 / Core Competencies
AI MODELS & INFERENCE
- Inference Runtimes: llama.cpp, MLX, vLLM, GGUF/AWQ quantization, KV cache compression, speculative decoding.
- Open Weights: Qwen 3.8/3.6, Gemma 4, Llama 3.2, MoE sparse routing vs dense architectures.
- Evaluation & Evals: Empirical benchmarking (LongMemEval, LoCoMo), synthetic ground-truth generation, statistical FDR filtering.
SYSTEMS & MEMORY SUBSTRATES
- Retrieval & Indexing: Local-first memory substrates, mmap vector indices, RaBitQ 1-bit quantization, hierarchical coarse-to-fine search, BM25.
- Agent Architectures: Model Context Protocol (MCP) tool calling, deterministic context assembly, zero-knowledge sidecars.
- Software & Implementation Environments: Rust (Axum, Tokio, UniFFI, WASM), TypeScript, React 19, Python, SQLCipher WAL, X25519 DH. Agentic engineering: architecture-led implementation using coding agents, with review, testing and eval ownership.
03 / Featured AI Systems & R&D Track Record
Architected a portable, local-first memory engine in Rust enabling ~4B parameter models on Apple Silicon to perform multi-hop contextual reasoning without remote cloud leakage.
- Achieved 5,000,000 vector index residency in <250MB RAM using RaBitQ 1-bit binary quantization with Int4 exact reranking.
- Designed hierarchical coarse-to-fine search boosting Recall@10 by 46% (0.291 → 0.438) over standard dense baselines on LongMemEval dialogue datasets.
- Conducted and published empirical research on GraphRAG transfer falsification on multi-session conversation.
- Built native Model Context Protocol (MCP) server bindings for seamless agent tooling integration.
Architected a turn-key physical ARM appliance (Rockchip RK3528A / RK3588S) for air-gapped corporate real-time communication.
- Engineered shared cross-platform cryptographic core (
vnutri-crypto) in Rust, compiling to WebAssembly (WASM) for Web and UniFFI for native Swift/iOS. - Designed custom 33-byte binary header MsgPack wire protocol enabling $O(1)$ blind message routing by the server without payload parsing.
- Implemented in-memory write-buffering for SQLCipher, reducing disk fsyncs by ~260x to protect appliance eMMC flash storage.
- Optimized full application memory footprint to ~130MB RAM under 500 concurrent connections, fitting within a 2GB hardware ceiling.
04 / Employment History & Leadership Progression
Consulting leadership teams on AI system viability, open-source model inference runtimes, hardware trade-offs, and tool-use architectures.
- Restructured operational workflows for creative and technical departments using Agile, Scrum, and Kanban methodologies, increased throughput by 180% within 6 months.
- Consulted creative teams, art directors, and engineers on cross-functional AI integration and workflow optimization.
- Architected and directed high-complexity digital navigation, branding, and redesign initiatives for commercial enterprises.
Directed a multidisciplinary team of 5 (3 designers, 2 creative strategists) delivering digital products, brand architectures, advertising, and PR systems.
- Scaled department production capacity (CLT) by +40% in 6 months by establishing clear operational structures and agile workflows.
- Reduced average task cycle turnaround by 50% through cross-departmental alignment and streamlined feedback loops.
- Pitched, defended, and successfully delivered 5 major commercial projects totaling RUB 8M+ in contract value.
- Launched 10+ major brand and digital navigation projects from concept to execution.
Led a creative team of 7 (4 designers, 3 visual artists) overseeing brand identity across all physical, digital, and environmental touchpoints.
- Established and maintained comprehensive brand design systems for cultural, museum, and gallery initiatives.
- Produced major exhibitions, commercial shoots, and advertising productions at top-tier venues (Winzavod, Red October).
- Managed direct client communications, project presentations, and stakeholder negotiations.
Delivered end-to-end brand identities, UX/UI frameworks, print design, and multi-channel digital campaigns for commercial clients.