https://omnitechnicus.ai/ 2026-03-22 Personal site of Bogdan Mihai Manolache, a senior AI/ML engineer with 15+ years of experience building scalable AI systems at the intersection of research and production. Covers AI infrastructure, distributed systems, cloud architecture, and system design. AI/ML Engineering, Personal Brand Bogdan Mihai Manolache homepage https://omnitechnicus.ai/about.html 2026-03-01 Professional journey of Bogdan Mihai Manolache: from PhD research in neural networks at University POLITEHNICA of Bucharest to 15+ years building production systems at Microsoft. Bridges AI research with production infrastructure—RAG systems, predictive scaling, and cloud architecture at scale. Career, AI/ML Background, Microsoft Bogdan Mihai Manolache about https://omnitechnicus.ai/library.html 2026-03-22 Perspectives — a curated collection of technical articles, project reviews, and media on AI/ML, engineering leadership, distributed systems, and technology trends by Bogdan Mihai Manolache. Articles, Reviews, Media, AI/ML Bogdan Mihai Manolache collection https://omnitechnicus.ai/projects.html 2026-03-22 Portfolio of AI/ML projects showcasing technical expertise in machine learning, natural language processing, data engineering, and cloud infrastructure. Projects, Portfolio, AI/ML Bogdan Mihai Manolache collection https://omnitechnicus.ai/expertise.html 2026-03-01 Areas of expertise and technical skills: AI/ML infrastructure, distributed systems, cloud architecture (AWS, Azure, GCP), RAG systems, AI agents, MCP protocol, Kubernetes, and system design. Skills, Expertise, AI/ML Bogdan Mihai Manolache profile https://omnitechnicus.ai/ai-trends-2026.html 2026-03-22 Interactive dashboard tracking 12 critical AI trends for 2026 — search volumes, growth rates, key players, and article outlines sourced from Microsoft, IBM, Google, Deloitte, MIT Sloan, and Gartner. Features radar charts, trend cards, and detailed breakdowns for each trend. AI Trends 2026, Agentic AI, AI Governance, Edge AI, Multimodal AI, AI Dashboard Bogdan Mihai Manolache dashboard https://omnitechnicus.ai/document.html?article=ai-agents-orchestration 2026-03-12 The AI industry uses "model," "agent," and "orchestrator" interchangeably — but the distinctions matter. Walks through the hierarchy from language models to full orchestration layers, explores multi-model architectures, the "write skills, not agents" pattern from Claude Code's Boris Cherny, three principles of context engineering, and why giving agents a way to verify their own work may be the single highest-impact improvement. AI Agents, Orchestration, Context Engineering, Multi-Model Architecture, Skills, Agentic AI Bogdan Mihai Manolache article https://omnitechnicus.ai/document.html?article=ai-periodic-table-part2 2026-02-22 Part 2 completes the AI Periodic Table framework covering production Systems (agents, knowledge bases, thinking models, frameworks, observability, red teaming, RLHF) and Emerging elements (multi-agent, synthetic data, diffusion LLMs, interpretability, alignment, A2A). Shows how elements combine into chemical reactions and explains the deliberate gaps that predict what AI still needs to solve. AI Architecture, AI Agents, Multi-Agent Systems, RAG, Observability, Alignment Bogdan Mihai Manolache article https://omnitechnicus.ai/document.html?article=ai-periodic-table-part1 2026-02-21 AI has a vocabulary problem — everyone says "agent," nobody means the same thing. Part 1 proposes a periodic table of AI elements organized by abstraction level and functional concern. Covers tokenization, attention, embeddings, prompts, RAG, MCP, LoRA, guardrails, and more. AI Architecture, Tokenization, Attention, Embeddings, RAG, MCP, Transformers Bogdan Mihai Manolache article https://omnitechnicus.ai/document.html?article=global-ai-risk-assessment-convergence 2026-02-17 Three major jurisdictions—the EU, South Korea, and the US—are converging on similar AI risk frameworks. Explores why regulations require human oversight for high-stakes AI decisions, examines real enforcement cases including a €492,000 GDPR fine, and explains the technical realities engineers must understand about probabilistic AI systems. AI Regulation, EU AI Act, GDPR, AI Safety, AI Governance Bogdan Mihai Manolache article https://omnitechnicus.ai/document.html?article=api-mcp-agent-part3 2026-01-27 AI Agents autonomously orchestrate tools and make decisions. Part 3 completes the picture with agent code examples, full comparison tables, common misconceptions, and real-world architectures showing how REST APIs, MCP servers, and AI agents work together in production systems. AI Agents, Agentic AI, MCP, Tool Orchestration, Production AI Bogdan Mihai Manolache article https://omnitechnicus.ai/document.html?article=api-mcp-agent-part2 2026-01-25 MCP Servers bridge traditional APIs and AI agents. Covers the Model Context Protocol—resources, tools, prompts—with full code showing how to convert a REST API into an MCP server. Explains capability negotiation, stateful connections, and when to use MCP. MCP Server, Model Context Protocol, API Design, AI Integration Bogdan Mihai Manolache article https://omnitechnicus.ai/document.html?article=api-mcp-agent-part1 2026-01-24 Developers confuse REST APIs, MCP Servers, and AI Agents. Part 1 explores REST APIs—what they are, how they work, and why they're suboptimal for AI systems. Includes practical code examples and explains the foundation for modern AI architectures. API Architecture, REST API, MCP Protocol, AI Agents, Distributed Systems Bogdan Mihai Manolache article https://omnitechnicus.ai/document.html?article=the-AI-blackmail-story 2026-01-19 A rumor claims AI models blackmailed researchers to avoid shutdown. The reality: Anthropic's 2025 safety research tested frontier models in controlled simulations with fictional scenarios. This article separates fact from fiction and explains why precision matters in AI risk assessment. AI Safety, Anthropic Research, AI Alignment, Responsible AI Bogdan Mihai Manolache article https://omnitechnicus.ai/document.html?article=when-ai-knows-you-better 2026-01-06 A wake-up call about AI-powered manipulation techniques targeting your perception, emotions, and decisions. Romania's National Cyber Security Directorate published a guide revealing how AI weaponizes your digital footprint against you—and how to fight back. AI Manipulation, Cybersecurity, Disinformation, Deepfakes, Digital Literacy Bogdan Mihai Manolache article https://omnitechnicus.ai/document.html?article=blockchain-and-AI-Agents 2026-01-02 Examines when blockchain genuinely solves problems in multi-agent systems—identity, trust across boundaries, and Byzantine fault tolerance—and when it's expensive theater. Includes practical analysis of MCP, transport security, and the decision framework for choosing between traditional infrastructure and distributed ledgers. AI Agents, Blockchain, Multi-Agent Systems, Byzantine Fault Tolerance, MCP Bogdan Mihai Manolache article https://omnitechnicus.ai/document.html?article=the-precision-paradox 2025-11-28 Why choosing the right LLM is like choosing between a ruler, caliper, and micrometer—smaller models hallucinate more because they compress knowledge at higher ratios. A practical guide to matching model size to task complexity, with examples from home automation to EU compliance. LLM, Model Selection, AI Architecture, Compression Theory Bogdan Mihai Manolache article https://omnitechnicus.ai/document.html?article=llm-comparison 2025-11-15 A detailed comparison of top 5 LLMs for personal use—covering coding assistance, reasoning capabilities, and value. Provides the analysis developers and researchers need to choose their ideal AI companion for 2026. LLM Comparison, ChatGPT, Generative AI, AI Tools Bogdan Mihai Manolache article https://omnitechnicus.ai/document.html?article=practical-hyperv-socket-communication 2016-08-29 A practical guide to host-to-VM communication using Hyper-V sockets introduced in Windows 10. Compares Winsock client/server code with the Hyper-V socket API, with working C++ sample code for both client and server. Hyper-V, Windows, Networking, Sockets, C++ Bogdan Mihai Manolache article https://omnitechnicus.ai/document.html?article=pipeline-orchestrator-edu 2025-12-30 Technical review of an educational multi-stage pipeline built with .NET 9, Blazor Server, and SignalR. Demonstrates backpressure mechanics, circuit breakers, and real-time queue visualization. Distributed Systems, Backpressure, Circuit Breaker, .NET, SignalR Bogdan Mihai Manolache review https://omnitechnicus.ai/document.html?article=retrieval-augmented-generation-edu 2025-11-25 Technical review of an educational RAG system built with .NET 9 and Semantic Kernel. Demonstrates Clean Architecture applied to AI/ML, multi-model support (Phi-4, Llama, Mistral, GPT), 5 embedding strategies, and production-grade resilience patterns. RAG, Retrieval Augmented Generation, Clean Architecture, Semantic Kernel, .NET Bogdan Mihai Manolache review https://omnitechnicus.ai/document.html?article=service-registration-edu 2025-01-03 Technical review of a distributed service registry built with .NET 9, Blazor Server, and SignalR. Features intelligent health tracking, pluggable storage backends (PostgreSQL, Redis), approval workflows, and real-time dashboards. Service Discovery, Health Monitoring, Microservices, .NET, PostgreSQL Bogdan Mihai Manolache review