Saurabh Srivastava / Chief Architect

I turn AI ambition into shipped enterprise systems.

Sixteen years architecting open-source, full-stack and low-code systems. Now leading AI innovation for the enterprise — and building it in public.

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01 — Profile
Portrait of Saurabh Srivastava
Fig. 02 — The architect

I work at the intersection of enterprise systems and emerging AI — turning complexity into clean, composable, durable architecture.

Today I lead AI innovation across our organization and our software customers, translating the noisy frontier of generative AI into practical, shippable business capability. And I build in the open: every PoC published, documented, and ready to fork.

16yrs
Building Software
30
Public Repos
3
Published Projects
02 — Domains of Practice
/ 01

Applied AI

Generative and agentic AI, taken from experiment to shipped product — evaluated, governed and measured.

Agents · RAG · Evals · MLOps · Guardrails

/ 02

Architecture & Engineering

End-to-end solution architecture and hands-on full-stack delivery, from domain model to production.

Distributed systems · APIs · DevOps · Product delivery

/ 03

Open Source

A bias toward open stacks — chosen for transparency, longevity and community gravity.

CMS · Headless commerce · SSR · Observability

/ 04

Low-Code & Automation

Power Platform and intelligent automation that let citizen and pro developers ship together.

Power Apps · Power Automate · Dataverse · RPA + AI

/ 01

Architecture is a service to business outcomes, not a monument to engineering taste.

/ 02

AI doesn't replace good design — it raises the floor and demands better systems thinking around it.

/ 03

Open source is the most reliable form of future-proofing. Bet on the community, not the vendor cycle.

/ 04

Low-code and pro-code aren't rivals. The architecture's job is to make them compose without friction.

/ 05

Ship the PoC. Public by default. Quiet expertise compounds slower than visible craft.

04 — Building in Public

Open-source work.

Jenkins CI · Official Plugin · jenkinsci org

ForgeAI Pipeline Intelligence

Not another ChatGPT wrapper. A purpose-built AI analysis engine embedded directly in Jenkins — 8 specialized analyzers that run inside your CI/CD pipeline and return structured verdicts on every build.

LLM Providers OpenAI · Claude · Ollama · LM Studio
Deployment Cloud or fully air-gapped
Stack Java 17+ · Maven · Jenkins 2.528.3+
License MIT
forgeai · analysing build
  1. Code Review
  2. Vulnerability Scan
  3. Architecture Drift
  4. Test Gap Analysis
  5. Dependency Risk
  6. Commit Intelligence
  7. Pipeline Optimisation
  8. Release Readiness
Verdict SHIP_IT
Docker Hub · sauvast/traceguard-ai · Published

TraceGuard AI

An autonomous quality firewall for LLM agents. Classifies failures, generates targeted patches, writes evaluators, and runs shadow deployments — so your agents ship with confidence, not guesswork.

Stack Python · LangGraph · LangSmith · Groq
Distribution Docker Hub
License MIT
$ docker pull sauvast/traceguard-ai
  1. Classify the failure
  2. Generate a targeted patch
  3. Write the evaluator
  4. Run a shadow deployment
Agent READY
PyPI · archilens · Published

ArchiLens

Google Maps for codebases. Analyses any Git repository and generates interactive, layered architecture diagrams — from system context down to runtime process flows — and flags architecture drift in CI.

Analyses Python · Java · JS/TS · Go
Output Mermaid · D2 · PlantUML
AI Optional — runs without API keys
License MIT
$ pip install archilens
  1. L0 · System context
  2. L1 · Module architecture
  3. L2 · Component detail
  4. L3 · Process flows
Diagrams MERMAID
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05 — Connect

Let's build something.

For collaboration on AI initiatives, architecture reviews, open-source contributions, or just a sharp conversation about systems.

Connect on LinkedIn →