JAYAPRAKASH ALAWALA (JP) — Expanded CV

Enterprise Technology Leader — Cloud Migration & Modernization at Scale | AI Infrastructure, GenAI Inference & Agentic Platforms | Industry Thought Leader

Same structure as my CV, with public links to every published asset — blogs, workshops, open-source repositories, case studies and certifications — so each claim can be verified.

Bangalore, India · alawalajp@gmail.com · cloud-tech-consulting.com · LinkedIn · YouTube

Experience Summary

Executive Summary

Technology leader operating at the intersection of the two transformations enterprises are funding today: cloud migration & modernization at scale, and becoming AI-first. Principal Solutions Architect (L7) at AWS with 20+ years' experience, trusted advisor to 500+ enterprise customers — India's largest private banks, OTT, fintech and global SI/ISV platforms.

As a business leader, I grew Application Modernization 582% over three years, landed 105% of revenue target (+34.2% YoY), and founded a partner-led delivery programme that compressed enterprise container migrations from 6–18 months to 6–10 weeks across 5 partners and 47 customers.

As a technologist, I architect GenAI inference on both NVIDIA GPU and AWS silicon (Trainium/Inferentia) — cutting GPU inference cost ~60% and time-to-first-token up to 5× — and have solved cross-region GPU scarcity as a reusable industry pattern.

As an industry voice, I shape the AWS container roadmap through 29 product feature requests and an upstream Kubernetes proposal, author 13 AWS blogs and workshops delivered 168 times across the field, speak at AWS re:Invent 2025, reach ~700 subscribers on my YouTube channel, and grew a technical community from 87 to 187 members while mentoring 12+ engineers to senior and principal level.

Technical Expertise

Cloud Migration & ModernizationAWS Transform (agentic migration & modernization), Trianz Concierto Agentic Platform (Agentic Assess / Migrate / Modernize), AWS MGN, discovery & assessment, TCO and business-case modelling
Containers & Cloud OrchestrationAWS, Kubernetes, Amazon EKS/ECS, ROSA (OpenShift on AWS), Fargate, ECR, Docker, API Gateway, Lambda
GenAI / AI InfrastructureAmazon Bedrock & Bedrock AgentCore, LLM inference (vLLM, KubeRay, Karpenter, S3/EFS/FSx Lustre), NVIDIA GPU orchestration, AWS Inferentia/Trainium, RAG & agentic architectures, Amazon Q, Kiro
Agentic AI & GenAI Platform StackLangGraph/LangChain, LiteLLM & Kong AI Gateway, Langfuse & Arize (observability), Ray/Ray Serve, Ragas (LLM-as-a-Judge), Milvus & Redis (vector/RAG), MCP tool servers, Bedrock Guardrails, KEDA, FastAPI, Open WebUI, FlexAI, Strands SDK
Platform Engineering, Observability & FinOpsPrometheus, Grafana, CloudWatch Container Insights, ADOT/OpenTelemetry, X-Ray, Fault Injection Simulator, KubeVela/OAM; Karpenter, Cluster Autoscaler, HPA/VPA, EC2 Spot, Graviton, Fargate Spot
Security, CI/CD & IaCIAM, Kubernetes RBAC, Secrets Manager, Falco, OPA/Gatekeeper, Kyverno, CIS/PCI-DSS/HIPAA; ArgoCD, CodePipeline, Jenkins, Blue-Green/Canary; Terraform, AWS CDK, CloudFormation, Crossplane, KRO, Boto3/Python
Networking & Service MeshIstio, Linkerd, VPC design, ALB/NLB, ECS Service Connect, Cloud Map, Route 53, K8s Gateway API, VPC Lattice
Partner/ISV Ecosystem & LanguagesKong, Nirmata/Kyverno, Arize, Anyscale · Python, Go, Bash · Amazon Linux 2023, Bottlerocket · DRM (VGDRM, Widevine, PlayReady)

Certifications verifiable

AWS Experience — Sept 2019 – Present

Role: Principal Container Specialist Solutions Architect (L7) · Focus: AI infrastructure, GenAI platforms, Kubernetes/EKS · Region: India / APJ

AI-First Enterprise Transformation — Flagship Wins

AI Infrastructure — GPU & AWS-Silicon Inference at Scale

Agentic AI Platforms & Scaled AI Enablement

Business Impact & Scale

Containers/EKS Enablement & Field Leadership

Enterprise Platform Advisory — Migration, Modernization & Multi-Tenancy

Technical Innovation

Product & Thought Leadership

Honors & Recognition

Cisco Experience — Jan 2013 – Oct 2018

Role: DevOps Technical Leader II (Grade 11) · Team Size: 5 · Clients: global telecom & pay-TV operators

Texas Instruments Experience — July 2001 – Dec 2012

Role: Application Engineer Tech Lead · Team Size: 3 · Clients: OEMs

References

  1. Rajesh Singh — Head of App Modernization Business, Microsoft / Azure India
  2. Guru Balasubramaniam — Head of Customer Engineering (Digital Natives), Google Cloud India

(Contact details available on request.)

Education

Personal

Appendix — all public assets in one place

AWS blogs (13)

Workshops

Open source & upstream

Case studies & channels