sehgalnamit (@sehgalnamit) | Hashnode Toggle Sidebar Feed Pro Search Theme Sign in MoreDarkshift - a dark factory for softwareBug0 - The AI-native e2e QA regression testingThe foreword by Hashnode - official blog from the Hashnode teamPassmark - The open-source AI framework for regression testingHashnode gql skill - let your AI agent publish to your Hashnode blogHackathonsChangelogBrand@hashnode on XHashnode on LinkedInSupport - [email protected] of ConductTermsPrivacySitemap Search Hashnode Search posts, tags, users, and pages @sehgalnamit sehgalnamit @sehgalnamit·Singapore·Joined May 2026 Share About Nothing here yet. Available for Nothing here yet. sehgalnamit's blogs Namit's Tech Journalarticles.namitsehgal.com18 posts About Nothing here yet. Available for Nothing here yet. sehgalnamit's blogs Namit's Tech Journalarticles.namitsehgal.com18 posts ArticlesComments Recently published Ssehgalnamitinarticles.namitsehgal.com·1d ago · 5 min read Demystifying Enterprise GenAI Architecture: Neuro-Symbolic Systems, Knowledge Graphs, and Pluggable Domain Engines Executive Summary The generative AI landscape is undergoing a fundamental structural transition. For the past several years, enterprise AI engineering focused on building monolithic wrappers—wiring cu 10 Ssehgalnamitinarticles.namitsehgal.com·1d ago · 7 min read Demystifying Legal GenAI Engineering: Neuro-Symbolic Architectures, Knowledge Graphs, and Singapore Common Law When legal tech vendors pitch their AI platforms, the marketing narrative often sounds remarkably polished: "Our platform uses a domain-specific neural network trained on millions of legal judgments t 00 Ssehgalnamitinarticles.namitsehgal.com·2d ago · 9 min read Demystifying GenAI Engineering: What to Train, How to Build, and Real Healthcare Architectures When embarking on a Generative AI journey, many organizations quickly find themselves asking fundamental questions: Should we train our own AI model? Do we need a network of autonomous agents? How can 30 Ssehgalnamitinarticles.namitsehgal.com·2d ago · 10 min read Enterprise Multi-Agent Architecture: Model-Agnostic Token Optimization, State Machines, and GovOps Controls Transitioning enterprise AI from isolated prompt-response models to autonomous multi-agent networks introduces a critical engineering challenge: quadratic token compounding. In a distributed agent gra 00 Ssehgalnamitinarticles.namitsehgal.com·5d ago · 7 min read Agentic AI Governance: Operationalizing MAS SAFR, Federated Gateways, and Human-in-the-Loop Flywheels As enterprise AI evolves from passive chat interfaces to fully autonomous multi-agent networks, classical governance architectures fail. Pre-deployment model evaluations, benchmark scores, and static 30 Load more