Venkata Peetla
5-spine review path (4 live + ADR hub) · 18 repos

AI architect portfolio — production systems you can click, inspect, and fork.

Applied AI engineering portfolio spanning agent governance, multi-agent orchestration, enterprise RAG, and AgentOps. Every project ships with its architecture diagram, a live platform, and the open-source repository on one card.

Start Here (5 min)

Technical review path for engineering panels

AegisAI → VAP → Enterprise RAG → Content Factory → ADRs (Demo vs Strict labeled). Full checklist →

  1. Step 1

    Governance — AegisAI

    3 min

  2. Step 2

    Orchestration — Venkat AI Platform

    3 min

  3. Step 3

    Knowledge — Enterprise RAG

    3 min

  4. Step 4

    Application — AI Content Factory

    3 min

  5. Step 5

    Decisions — ADR portfolio + eval proof

    3 min

Panel review platforms

Four spine platforms — governance, orchestration, RAG, governed publish

Compact view for engineering panels. Switch to full portfolio for all 12 platforms, patterns, and enterprise case studies.

01Agent governanceGatewayHITLPolicy

AegisAI

Runtime control plane for agent fleets — gateway, policy, HITL, and audit.

Monitor → Govern → Remediate — a runtime control plane for tool authorization, policy violations, HITL approvals, signed audit, and agent registry lifecycle.

Decision

Control plane over agent builder — enterprises need governance across fleets, not another chat UI.

Signal

Website deploy tools forced through approval_required policy on live platform.

Limitation

Registry defaults to in-memory on free tier; Postgres path documented for production.

What shipped: AegisAI: gateway-first governance control plane →

  • AI Gateway SDK with OPA policy evaluation
  • Human-in-the-loop for high-risk tool calls
  • Agent registry with in-memory persistence (Postgres planned)
  • Governed orchestrators: content pipeline, stock research
Open live platformGitHubDeep dive
02Multi-agent OSLangGraph16 IntentsRAG Lab

Venkat AI Platform

Multi-agent OS with three orchestrators, seven RAG strategies, and gateway-wrapped delivery.

Three LangGraph orchestrators, seven RAG strategies, loop patterns (ReAct · Reflection · Plan-Execute), and gateway-wrapped delivery to Slack, Telegram, and WhatsApp.

Decision

LangGraph stateful graphs over linear chains — enterprise workflows need checkpoints and HITL.

Signal

16 routed intents · 7 retrieval strategies · AegisAI gateway on notify channels.

Limitation

Vector store optional on free tier; Enterprise RAG adapter bridges to governed RAG platform.

What shipped: Venkat AI Platform: three LangGraph orchestrators live →

  • Platform · Deep Research · Architecture Review orchestrators
  • Enterprise RAG adapter as 7th retrieval strategy
  • AegisAI gateway on notify channels
  • Specialist agents: Web, Knowledge, Critic, Planner
Open live platformGitHubDeep dive
03Knowledge layerHybrid RAGAccess ControlGraph Expansion

Enterprise RAG Platform

Access-aware hybrid RAG with ingest, citations, and optional HITL gates.

Authorization before ranking, hybrid retrieval, cross-encoder rerank, decline-to-answer, citation traceability, AegisAI HITL bridge, and Langfuse trace export.

Decision

Authorization before ranking — vector DB is implementation; access control is architecture.

Signal

golden-eval-registry CI · adversarial suite · JWT Principal when PRODUCTION_STRICT=1.

Limitation

Default live demo is Demo mode (body Principal) with sticky banner; Strict/JWT is the Principal review path (ADR-0006). Free-tier corpus re-ingests after cold start.

What shipped: Golden eval registry gates real CI builds →

  • Access-aware filtering before semantic ranking
  • Hybrid lexical + semantic retrieval with cross-encoder rerank
  • Decline-to-answer when retrieval confidence is low
  • JWT-verified Principal under PRODUCTION_STRICT · adversarial golden suite
Open live platformGitHubDeep dive
04Content automationLangGraphHITLPublish

AI Content Factory

Governed content pipeline — research, multi-platform drafts, HITL, then publish.

Research → five platform drafts → HITL review → governed publish through AegisAI gateway, OAuth adapters, and scheduled cron pipelines.

Decision

AegisAI gateway blocks publish until policy allows — side effects never bypass governance.

Signal

Real LinkedIn/X OAuth publish path when tokens configured.

Limitation

Clerk keys required for full pipeline; invite-only signup in production config.

What shipped: AI Content Factory: governed multi-platform publish →

  • End-to-end research and multi-platform draft generation
  • Clerk auth with human approval gates before publish
  • LinkedIn and X OAuth when tokens configured
  • AegisAI gateway blocks publish until policy allows
Open live platformGitHubDeep dive
Eval discipline

golden-eval-registry — regression gates wired into real CI

Six suite kinds (RAG answer, harness QA, repo fix, mission gate, graph HITL, brief gate). Enterprise RAG and AegisLoop fail builds on regression — not just validate fixtures. Running one suite for the first time found and fixed a real bug in its own fixture.

View eval registry5-minute technical review