Bidhan Pradhan

About Bidhan Pradhan

Senior Platform Engineer with solid hands-on experience in designing, scaling, and securing cloud-native platforms, GPU-accelerated AI infrastructure, and Agentic AI workloads within highly regulated industries (finance, telcom, government). Deep expertise in architecting and operating large-scale Kubernetes clusters, implementing GitOps (Argo CD/Flux), Service Mesh and Infrastructure as Code (IaC) pipelines, hardening the Kubernetes software supply chain (SBOM, image signing, vulnerability scanning), and enforcing robust zero-trust security posture across multi-cloud and on-premise environments.Key Qualifications:* 10+ years architecting and automating multi-cloud (AWS/Azure/GCP) infrastructures via IaC (Terraform). Orchestrates large-scale Kubernetes clusters, GPU/HPC, and AI inference pipelines with zero-downtime migrations, multi-region scalability, and full auditability.* Experience in building production Kubernetes Operators to automate complex application lifecycles, including self-healing, scaling, backups, and zero-downtime upgrades for AI/ML and multi-cloud workloads.* Extensive experience enhancing security for Kubernetes clusters across AKS, EKS, GKE, and OpenShift. Proficient in leveraging Istio, Kyverno, OPA, Hubble, Falco, and Cilium Tetragon to implement robust security policies and controls.* Expertise in building and scaling secure, GitOps-driven Agentic AI workloads and MCP-enabled Agentic Harness environments, delivering autonomous, context-aware multi-agent systems with declarative IaC, intelligent orchestration, secure tool integration, and reliable execution at enterprise scale.* Built Agent Harness, an Agentic AI system using autonomous agents to detect, diagnose, and resolve common Kubernetes issues, achieving 40% faster automated resolution with built-in human-grade oversigh

Experience

1. Lead Kubernetes Engineer

   NTT DATA North America

   Jun 2025 — Present

   Designing and overseeing complex Kubernetes architectures and large-scale cloud-native transformations including GPU clusters fully setup and managed by GitOps and IaC Built and scaled GitOps-driven Agentic AI workloads with MCP-based Agentic Harness environments, delivering autonomous, context-aware AI agents using declarative IaC, multi-agent orchestration, and secure tool connectivity. Deployed high-performance LLM inference clusters using llm-d on K8s for multiple NTT Data customers, enabling distributed prefill/decode disaggregation and scalable GPU workloads. Integrated AIBrix for optimized inference pipelines across customer environments, supporting seamless model serving, KV cache management, and multi-node orchestration. 2 Delivered inference clusters for diverse NTT Data customers in production, achieving low-latency serving at scale with llm-d\'s Kubernetes-native framework and AIBrix accelerators. Achievement: Deployed and Managed High-Density LoRA Management, streamlining support for lightweight low-rank adaptations—enabling efficient fine-tuning and deployment of 100+ LoRAs per cluster without performance degradation.

Skills

• Microsoft Word
• Microsoft Office
• Management
• Microsoft Excel
• Powerpoint
• International Business
• Foreign Exchange (Fx) Options
• Social Media
• Leadership
• Project Management
• Globalization
• Teaching
• English
• Public Speaking
• Research
• Customer Service
• Foreign Affairs
• Teamwork
• Photoshop
• Higher Education