Klimentiy B.

I architect, build, and scale complex AI systems from scratch. If it's AI and hard, weird, or unsolved – I'll figure it out. 💡 Specializing in high-complexity challenges: ● Advanced RAG & Search Systems (Beyond basic retrieval) ● Multi-Agent Systems (Enterprise Co-pilots, Autonomous Agents) ● Custom LLM Applications (Fine-Tuning, Integration, Local Models) ● End-to-End AI Architecture (API, DB, Cloud, Scalability) I deliver pragmatic, hands-on results, working solo or bringing my trusted team. My 8+ years UX background ensures AI systems solve real problems and get adopted. 🏆 Top Rated Plus | 100% Job Success | 5.0/5.0 Client Satisfaction ⭐ "Words won't do Klim justice. He’s probably the smartest person I’ve ever met." ⭐ "There isn't any problem that Klim cannot figure out. Simply exceptional." ⭐ "Klim is a hyperproductive ML researcher..." (quotes truncated for brevity) Proven Track Record - Highlights: 🚀 Enterprise AI Co-pilot: Built multi-agent Slack bot integrating with 300k+ APIs & 3k+ tables for supply chain ops. 🔍 NerdQA: Developed open-source verifiable research engine with novel hierarchical citation trees, released 6 months before OpenAI's similar Deep Research agent. 📈 Web-Scale Innovation Platform: Scaled database 10,000x (to 250M+ docs) using custom ML/NLP, semantic search, knowledge graphs, and pioneering LLM work (fine-tuning GPT-2 in 2019 and distilling it for classification tasks). ⛓️ Autonomous On-Chain AI: Prototyped agents managing resources & interacting directly on blockchain. 🎙️ Real-Time Voice AI Agent: Engineered low-latency voice AI for customer support, integrated with backend order systems via Retell AI. Core Capabilities: ▸ End-to-End AI System Architecture & Integration: Designing robust, scalable AI for complex data, APIs, legacy systems. ▸ Advanced RAG & Search: Expertise in knowledge graphs, hybrid search, advanced citation mechanisms (like citation trees), indexing massive corpora (250M+ docs). ▸ Expert LLM Application Development (Since GPT-2): Deep expertise including fine-tuning, prompt engineering, function calling/tool use, cost/latency optimization, local/open-source deployment. ▸ Multi-Agent Systems: Architecting collaborative & autonomous agent frameworks for complex workflow automation. ▸ UX-Informed AI Design: Leveraging deep UX background ensures AI systems are effective, usable, and readily adopted. ▸ Autonomous & Decentralized AI: Exploring and building self-governing, verifiable systems (incl. on-chain PoCs). ▸ Practical AI Safety & Governance: Embedding technical safeguards, transparency mechanisms, and control from the outset. How I Work: ▸ Pragmatic Results: Focus on shipping real, working systems. ▸ Transparency & Trust: Build auditable, reliable solutions. ▸ Lean Execution: Minimal overhead, maximum output. ▸ Research to Production: Turn novel ideas into running code. ▸ Style: Remote, async, hands-on, direct. Practical Details: ⏰ Availability: Up to 30 hrs/week (flexible) 💰 Rate: $140+/hr 🤝 Collaboration: Seeking challenging projects, potential long-term partnerships, fractional roles. Technical Toolkit (Core Expertise & Representative Examples): This list highlights key technologies, but my experience extends beyond these specific tools. 🧠 LLMs: Broad Expertise (GPT series: 4o, 4 Turbo, 3.5; Claude series: 3 Opus, Sonnet, Haiku; Llama series: 3, 2; Mistral series: Large, Medium, 7B, Mixtral; Gemini family; Cohere Command R/R+; Extensive experience with open-source, fine-tuned, distilled, local, and uncensored models). 🛠️ AI Frameworks: Primarily Custom Frameworks, LiteLLM, LangChain, LlamaIndex (when appropriate), Retell AI SDK. 🔬 ML / NLP: PyTorch, Hugging Face (Transformers, Datasets, Tokenizers), spaCy, NLTK, scikit-learn, XGBoost. 💾 Vector DBs & Search: Elasticsearch/OpenSearch, Supabase (Postgres + pg_vector), Qdrant, Redis (Vector Search), FAISS, Pinecone, Voyage AI Embeddings, Cohere Rerank. ☁️ Data Processing & Infrastructure: Python, Pandas, NumPy, Docker, Kubernetes (K8s), AWS, GCP, Cloudflare Workers, Serverless Architectures. 📊 Observability & Tracing: Langfuse, Arize Phoenix, Weights & Biases (W&B), Custom Logging/Analytics. 🗄️ Databases: PostgreSQL, Supabase, MongoDB, SQLite, (MySQL experience). 🔌 APIs & Integration: FastAPI, Flask, REST APIs, Webhooks, Slack SDK. 💻 Other: Git, JavaScript (Node.js for backend/serverless, Vanilla JS for frontends). If your project demands deep technical expertise, creative problem-solving, and robust, scalable AI solutions, I'd be keen to discuss it.