Naveen Kumar — Associate Partner
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.
Stackforce AI infers this person is a SaaS-focused AI and Cloud Architect with extensive DevOps expertise.
Location: Delhi, India
Experience: 10 yrs 7 mos
Skills
- Ai Systems Engineering
- Cloud Architecture
- Devops Automation
- Generative Ai
- Dataops
Career Highlights
- Expert in architecting scalable AI systems.
- Proven track record in cloud-native DevOps solutions.
- Strong leadership in AI and cloud strategy.
Work Experience
Kyndryl
Associate Director (8 mos)
Onix
Senior Architect (2 mos)
Architect-II (2 mos)
Architect-I (9 mos)
RAKBANK
DevOps Consultant (4 mos)
HCLTech
Associate Consultant (2 yrs 5 mos)
Rackspace Technology
Software Developer - IV (1 yr 2 mos)
Thales
DevOps Technical Lead (10 mos)
HCL Technologies
Technical Specialist (1 yr)
Tata Consultancy Services
IT Analyst (3 yrs 9 mos)
IBM
Unix System Administrator (2 yrs 5 mos)
Education
Bachelor of Technology (BTech) at Maharshi Dayanand University