Enterprise AI Architecture
Where LLMs belong in the enterprise stack — gateways, grounding, evaluation, cost control and governance — without letting a model become the system of record.
Related notesPractical architecture sessions for engineering teams, meetups and internal forums — drawn from delivery practice by Sanjeev Kumar, Application Architect. This page lists available topics; it does not claim a public speaking calendar.
Talks favour decision clarity over slide-deck tourism: constraints, tradeoffs, operability and what to refuse. Format can be a 30–45 minute talk, a deeper workshop segment, or an architecture clinic. For background and named engagements, see the profile and case studies.
Where LLMs belong in the enterprise stack — gateways, grounding, evaluation, cost control and governance — without letting a model become the system of record.
Related notesModule boundaries, API-first contracts and production readiness for enterprise Java platforms on Spring Boot.
Related notesService boundaries, resilience patterns, strangler-fig migration and operational ownership for squads shipping microservices.
Related notesContainer platforms that stay operable: probes, resources, release safety, networking and the controls regulated programmes expect.
Related notesNetworking, platform controls, CI/CD and FinOps-aware delivery on GCP as primary cloud with AWS as a strong second.
Related notesRetrieval-augmented generation grounded in HLD/LLD, ADRs and API contracts — citations, evaluation and guardrails.
Related notesAgentic tooling that accelerates design and review while staying auditable — when to use agents, and when not to.
Related notesKafka-backed domain events, outbox, saga and exactly-once business outcomes for transaction-critical platforms.
Related notesA planned short newsletter on architecture tradeoffs, event-driven design and enterprise AI — working title The Architecture Brief. No mailing-list signup is live on this site yet; until then, follow LinkedIn and the writing section for new notes.
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