Shinoj K Narayan
AI · QA · Architecture
AI-Augmented Engineering · Autonomous QA · Agentic AI Systems

AI-Augmented Quality Architect& Autonomous Systems Engineer

I'm Shinoj K Narayan — engineering intelligent quality systems, AI workflows, autonomous automation platforms, and agentic engineering ecosystems for the next generation of software delivery.

View ProjectsRequest ResumeContact Me
23+
Years Experience
50+
Projects Delivered
30+
Engineers Led
20+
AI Systems
90%+
Audit Ratings
AI neural network visualization
LLM
RAG
Agentic AI
QA
ZigBee
CI/CD
About

Engineering Autonomous Quality Systems for the AI Era

23+ years across embedded systems, enterprise automation, and AI-native quality engineering — now focused on architecting autonomous QA platforms, intelligent workflows, and agentic engineering systems.

Unlike most QA leaders who come from a testing background, I spent 13+ years as an embedded systems developer and wireless protocol architect before leading QA transformation. That hands-on developer foundation shapes how I engineer quality — from the protocol layer up to AI-driven test intelligence.

Autonomous QA Systems

Leading enterprise shifts from scripted automation to agentic, self-healing test ecosystems.

RAG & Multi-Agent Systems

Designing retrieval-augmented platforms and orchestrated agents for engineering knowledge.

Embedded & Protocol Engineering

Two decades shipping firmware, ESL platforms, and protocol stacks for global hardware.

Wireless Protocols

ZigBee Alliance certified — deep expertise across mesh, Wi-Fi, and BLE ecosystems.

Global Collaboration

Cross-cultural leadership across India, South Korea, and Norway engineering teams.

Engineering Governance & Strategy

Translating CTO-level vision into measurable governance, ROI, and audit-grade delivery.

Capability Matrix

AI & Engineering Expertise

A multidisciplinary engineering capability spanning AI systems, autonomous workflows, embedded engineering, enterprise automation, and intelligent quality architecture.

AI & Intelligent QA

LLM OrchestrationExpert
RAG PipelinesExpert
Agentic WorkflowsArchitect-Level
Prompt EngineeringExpert

Agentic AI & Workflow Systems

CrewAIExpert
LangflowAdvanced
N8NAdvanced
MCPExpert
OllamaExpert
RAGArchitect-Level
AI OrchestrationArchitect-Level

Automation Architecture

PlaywrightExpert
SeleniumArchitect-Level
CypressAdvanced
AppiumAdvanced

Embedded Systems

Firmware ArchitectureArchitect-Level
RTOSExpert
ESL PlatformsExpert
Protocol StacksArchitect-Level

Leadership & Governance

QA StrategyArchitect-Level
CMMI AuditsArchitect-Level
Team ScalingExpert
Stakeholder MgmtExpert

Programming

PythonExpert
TypeScriptAdvanced
C / C++Expert
JavaAdvanced

DevOps & CI/CD

JenkinsExpert
GitHub ActionsExpert
KubernetesEnterprise
DockerExpert

Wireless Protocols

ZigBeeArchitect-Level
Wi-FiExpert
BLEExpert
Thread / MatterAdvanced
Trajectory

23+ Years of Engineering & QA Transformation Leadership

From embedded firmware engineering and wireless protocol architecture to enterprise-scale AI-driven quality transformation.

0+
Years Experience
0+
Projects Delivered
0%
QA ROI Improvement
0%+
Automation Coverage
0+
QA Org Members
Global Collaboration
IndiaSouth KoreaNorway
  1. 2021 — Present

    Chief Engineer — Quality Engineering, Automation & AI Transformation

    Samsung Electro-Mechanics India
    • Leading enterprise-scale QA transformation across web, mobile, and embedded platforms using Generative AI, RAG, intelligent automation orchestration, predictive QA analytics, and RPA.
    • Drove strategic QA transformation across global engineering sites — including cross-region tooling alignment, KPI standardization, and automation governance.
    • Improved QA ROI by 30%, reduced release cycles by 25%, and scaled automation coverage to 70%+.
    • Leading a 30+ member cross-functional QA organization spanning enterprise, embedded, and AI-integrated platforms.
    • Championed AI-enabled quality engineering practices — including LLM-assisted defect triage, retrieval-augmented knowledge workflows, and intelligent test orchestration.
    • Established CI/CD automation pipelines, code coverage governance, and AI-driven quality gates across engineering programs.
  2. 2015 — 2021

    QA Governance, Automation & RPA Transformation Lead

    Samsung Electro-Mechanics India
    • Led QA governance and automation transformation initiatives across enterprise and embedded engineering programs.
    • Drove CMMI Level 3 compliance with zero major non-conformities across 3 consecutive audit cycles, sustaining 90%+ audit ratings.
    • Delivered autonomous code analyzers and enterprise automation solutions for mobile and web applications.
    • Led release governance, defect prevention, performance engineering, and Shift-Left quality with Selenium, Playwright, Appium, JMeter, and K6.
    • Designed scalable automation frameworks and QA governance processes improving testing efficiency by 30%.
    • Established branch and line code coverage practices achieving 80%+ coverage visibility across projects.
  3. 2009 — 2015

    Lead Engineer — Technical Lead, Project Leader & Embedded Systems Architect

    Samsung Electro-Mechanics India
    • Led delivery of 20+ concurrent projects across embedded systems, wireless protocols, Bluetooth, 6LoWPAN, and enterprise web platforms.
    • Delivered ESL (Electronic Shelf Label) platforms for leading global retail brands across Europe, Japan, and the US.
    • Architected multiple generations of the ZigBee protocol stack (APS, ZDO, NWK, AF).
    • Developed Bluetooth profile solutions and IPv6-enabled 6LoWPAN networking stacks for WinCE and embedded platforms.
    • Designed the SNET Analyzer wireless sniffer platform for ESL packet analysis and topology visualization.
  4. 2005 — 2009

    Senior Software Engineer — Wireless Protocol Engineering

    Samsung Electro-Mechanics India
    • Selected for the SEMCO–Nordic Semiconductor joint venture.
    • Contributed to Z3 wireless audio streaming solutions during engineering assignments in Trondheim (Norway) and Suwon (South Korea).
    • Achieved ZigBee Alliance certification for the ZigBee Pro stack within 7 months from project initiation.
    • Designed proprietary wireless protocols and contributed to ZigBee Alliance standardization initiatives.
  5. 2002 — 2005

    Embedded Systems Engineer

    AirBee Wireless · Mezoblanca Solutions · SRJ Info Jnana Systems
    • Worked on ZigBee stack development, RTOS-based embedded systems, MSP430 optimization, automation systems, and security access solutions.
    • Developed embedded automation systems, Adaptive Cruise Controller prototypes, and industrial monitoring platforms.
    • Built foundational expertise in embedded firmware, protocol engineering, and hardware-software integration.
Enterprise Work

AI Engineering Projects in Production

Enterprise platforms and agentic systems shipping real value inside global engineering organizations.

QA Copilot

LLM-powered tester sidekick

GPT-4LangChainPlaywright
70% faster test design cycles

RAG Knowledge Platform

Enterprise engineering memory

Vector DBEmbeddingsRAG
Indexed 12+ years of QA assets

AI Test Generator

Spec-to-test autonomous engine

LLMASTSelenium
Generated 8k+ production tests

Browser Automation Agents

Self-healing UI bots

PlaywrightAgentsVision
85% flake reduction

Workflow Tracing Engine

Observable agent pipelines

OpenTelemetryLangSmith
End-to-end agent observability

Autonomous QA Platform

Closed-loop test orchestration

K8sAgentsCI/CD
Zero-touch nightly regression

Multi-Agent QA Intelligence

Specialist agents in concert

CrewAIMCPRAG
60% manual design eliminated

AI KPI Analytics Dashboard

Executive quality intelligence

Next.jsRechartsLLM
Adopted across global R&D
Innovation Ecosystem

AI Engineering Projects & Innovation Labs

Selected AI engineering projects, autonomous QA concepts, browser AI systems, workflow orchestration experiments, and multi-agent research initiatives from my professional and innovation ecosystems.

Browser AI Tool

Browser AI Assistant

Hybrid browser-native AI assistant architecture combining local LLM inference (Ollama) with cloud models (OpenAI, Groq) — engineered for private, low-latency in-browser intelligence with seamless model switching.

Hybrid LLMOllamaOpenAIGroqEdge AI
JavaScriptSource: shinulearning
Agentic AI Experiment

CrewAI Multi-Agent Playground

Experimental orchestration environment for autonomous multi-agent collaboration systems — exploring sequential, parallel, and hierarchical agent synchronization patterns for production-grade agentic workflows.

CrewAIMulti-AgentOrchestrationAutonomy
PythonSource: ShinuAI Labs
AI Workflow Lab

Podcaster Crew

Autonomous multi-agent content production pipeline architected on CrewAI — specialist agents collaborate on research, scripting, and narrative synthesis to model collective machine intelligence at work.

Agentic WorkflowCrewAICollaborationAutonomy
PythonSource: ShinuAI Labs
Autonomous Systems Concept

Autonomous Blogger Agent

End-to-end autonomous content engineering agent that orchestrates research, ideation, drafting, and publishing workflows — a reference architecture for LLM-driven knowledge automation.

Workflow AutomationLLM AgentContent AI
PythonSource: ShinuAI Labs
Innovation Ecosystem

ShinuAI Labs

ShinuAI Labs is an AI innovation and experimentation ecosystem focused on agentic AI systems, autonomous QA concepts, browser AI, intelligent workflow engineering, and autonomous automation platforms.

GitHubLinkedIn
Credentials

Certified across AI, automation & standards

Continuously credentialed across frontier AI and the engineering standards enterprises rely on.

Generative AI
Specialization
Agentic AI Systems
Advanced
Retrieval-Augmented Generation
Practitioner
Model Context Protocol (MCP)
Certified
Playwright Automation
Expert
Selenium WebDriver
Master
Kubernetes
CKA Track
Jenkins CI/CD
Engineer
Agile / Scrum
Certified
CMMI Practices
Audit Lead
ISO 9001 / 27001
Standards
ZigBee Alliance
Certified
Impact

Measurable outcomes

0+
Years Experience
0+
Enterprise Projects
0%
QA ROI Improvement
0%
Release Cycle Reduction
0%+
Automation Coverage
0%+
Code Coverage
0x
Consecutive CMMI Audits
0+
Global Retail Clients
Publications

Publications & Thought Leadership

Technical publications on AI-enabled quality engineering, enterprise automation, governance, and intelligent testing systems.

6 Articles on Medium@shinulearning
AI TRANSFORMATIONFeatured

The QA Revolution You're Not Hearing About: How Agentic AI Is Rewriting Testing

How Agentic AI is reshaping enterprise quality engineering beyond traditional automation approaches.

Published on MediumRead article
AI GOVERNANCE

The 75% AI Failure Rate in QA — And How to Join the Winning 25%

Why most AI QA initiatives fail and what differentiates successful engineering organizations.

Published on MediumRead article
RAG & QA

Building an Experimental AI-Native QA Copilot

Exploring retrieval intelligence and AI-assisted quality engineering workflows beyond traditional automation.

Published on MediumRead article
AI GOVERNANCE

When AI Writes the Code, Who Tests the AI?

The emerging responsibility of validating AI-generated software systems and AI-driven engineering workflows.

Published on MediumRead article
ENTERPRISE AI

The Privacy Barrier in AI-Driven QA Just Collapsed

How local and hybrid AI architectures are changing enterprise QA adoption strategies.

Published on MediumRead article
AI ARCHITECTURE

Exploring AI Browsers Through a Small Hybrid Local + Cloud LLM Experiment

Experiments with hybrid local-cloud LLM workflows and browser-based AI interactions.

Published on MediumRead article
Let's Connect

Build the next intelligent system with me

Open to speaking at AI & QA conferences, sharing knowledge with the engineering community, and collaborating on open-source AI quality engineering initiatives.

Email
shinojkn2014@gmail.com
LinkedIn
linkedin.com/in/shinoj-narayan
GitHub (ShinuAI Labs)
github.com/shinuailabs
GitHub (Learning Lab)
github.com/shinulearning
Resume
Request CV — Contact me