Naveen Kumar

Associate Partner

Delhi, India10 yrs 7 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in architecting scalable AI systems.
  • Proven track record in cloud-native DevOps solutions.
  • Strong leadership in AI and cloud strategy.
Stackforce AI infers this person is a SaaS-focused AI and Cloud Architect with extensive DevOps expertise.

Contact

Skills

Core Skills

Ai Systems EngineeringCloud ArchitectureDevops AutomationGenerative AiDataops

Other Skills

DevOpsGoogle Cloud Platform (GCP)litellmMCP (Multi Agent Protocol)n8nModel Context Protocol (MCP)PythonKubernetesLangflowLangfuseGoogle Agent Development Kit (ADK)Amazon Web Services (AWS)Large Language Models (LLM)Open-WebuiLangChain

About

I didn’t start my career in AI. I started by solving real engineering problems — systems that needed to scale, clouds that needed to be built, pipelines that needed to run reliably. Over the years, I designed infrastructures, automated deployments, architected cloud platforms, and learned what it truly means to support systems at scale. Then GenAI arrived — and everything changed. I became fascinated not just with LLMs, but with the engineering required to make AI work in the real world. I realized that GenAI isn’t just about models… It’s about systems. It’s about retrieval, architecture, observability, scalability, and trust. That’s when my path shifted from Cloud + DevOps to AI Solution Architecture. Today, I build production-grade RAG/LLM systems, design AI agent workflows, implement LangChain & Langfuse pipelines, and create AI platforms that power real enterprise use cases. I architect cloud-native systems across GCP/AWS, operationalize platforms on Kubernetes, and automate end-to-end delivery using Terraform, GitOps, and CI/CD. My work sits at the intersection of: 🔹 AI systems engineering – retrieval pipelines, vector search, prompt routing, guardrails, observability 🔹 Cloud architecture – secure, scalable distributed systems on GCP/AWS 🔹 DevOps automation – Kubernetes, Terraform, GitOps, CI/CD, SRE practices 🔹 Enterprise impact – translating GenAI ideas into real, measurable outcomes What motivates me isn’t just building AI solutions — it’s building AI systems that last, systems that scale, systems that teams can trust, extend, and innovate on. I believe the future belongs to engineers and architects who understand both AI and cloud platforms — how the model works and how the system around it must be designed. If you're creating the next generation of AI platforms, re-architecting your cloud ecosystem, or exploring how GenAI can reshape your engineering workflows, let’s connect. I love collaborating with teams who think boldly, build responsibly, and aim for impact.

Experience

10 yrs 7 mos
Total Experience
1 yr 7 mos
Average Tenure
8 mos
Current Experience

Kyndryl

Associate Director

Sep 2025Present · 8 mos · Hybrid

  • As Associate Director – AI & DevOps Cloud, I lead the vision, design, and execution of enterprise AI platforms and cloud-native DevOps solutions. My responsibilities include:
  • 🔹Leading GenAI strategy, architecture, and implementation across multiple business units.
  • 🔹Designing production-grade RAG, LLM, and LangChain-based AI systems for enterprise use.
  • 🔹Implementing LLM observability with Langfuse, including tracing, evaluation, and performance monitoring.
  • 🔹Building AI agents and intelligent automation frameworks using ADK and vector databases.
  • 🔹Defining and operationalizing MLOps workflows for model training, deployment, monitoring, and governance.
  • 🔹Architecting scalable, secure cloud platforms on GCP and AWS, including GKE/EKS, VPC design, security, and networking.
  • 🔹Driving DevOps modernization using Terraform, GitOps (ArgoCD), and CI/CD automation pipelines.
  • 🔹Collaborating with cross-functional teams to shape AI roadmaps and cloud modernization programs.
  • 🔹 Leading solution reviews, platform governance, security assessments, and cost optimization initiatives.
  • This role blends AI innovation, cloud engineering, and technical leadership to deliver intelligent, secure, and scalable platforms for the organization.
DevOpsGoogle Cloud Platform (GCP)litellmMCP (Multi Agent Protocol)n8nModel Context Protocol (MCP)+14

Onix

3 roles

Senior Architect

Jul 2025Sep 2025 · 2 mos

Generative AILarge Language Models (LLM)

Architect-II

May 2025Jul 2025 · 2 mos

Architect-I

Aug 2024May 2025 · 9 mos

Kafka StrimziPython (Programming Language)MavenSQLTerrscanGoogle Cloud Platform (GCP)+33

Rakbank

DevOps Consultant

Apr 2024Aug 2024 · 4 mos · Dubai, United Arab Emirates · On-site

TerrascanMavenGitHubCICDTerraformDevSecOps+17

Hcltech

Associate Consultant

Nov 2021Apr 2024 · 2 yrs 5 mos · India · Hybrid

DevOpsAWS CodeDeployPython (Programming Language)JenkinsCICDCKS+19

Rackspace technology

Software Developer - IV

Sep 2020Nov 2021 · 1 yr 2 mos · Gurugram, Haryana, India · Remote

DevOpsAWS CodeDeployPython (Programming Language)Shell ScriptingGoogle Cloud Platform (GCP)Anthos+14

Thales

DevOps Technical Lead

Nov 2019Sep 2020 · 10 mos · Noida, Uttar Pradesh, India · Hybrid

DevOpsAnthosJenkinsTerraformKubernetesGoogle Kubernetes Engine (GKE)+9

Hcl technologies

Technical Specialist

Nov 2018Nov 2019 · 1 yr · Noida · Hybrid

CICDTerraformLinuxKubernetesAutomationGitlab+7

Tata consultancy services

IT Analyst

Feb 2015Nov 2018 · 3 yrs 9 mos · Gurugram, Haryana, India · On-site

Shell ScriptingRed Hat LinuxJenkinsKubernetesAmazon Web Services (AWS)Continuous Integration and Continuous Delivery (CI/CD)+2

Ibm

Unix System Administrator

Sep 2012Feb 2015 · 2 yrs 5 mos · Noida · Hybrid

Shell ScriptingUbuntuLinuxCentOSUnixRed Hat Enterprise Linux (RHEL)+2

Education

Maharshi Dayanand University

Bachelor of Technology (BTech) — Computer Science

Jan 2008Jan 2012

Stackforce found 100+ more professionals with Ai Systems Engineering & Cloud Architecture

Explore similar profiles based on matching skills and experience