About Rahul Goel – Senior TPM | Solutions Architect | AI/GenAI Leader
Senior Technical Program Manager and AWS Certified Solutions Architect at Amazon with 19+ years of experience. I specialize in GenAI/RAG architecture, Cloud FinOps, and enterprise-scale automation.
Currently managing a $165M AWS cloud portfolio across 85+ engineering teams, delivering production GenAI solutions that resolve 4,500+ tickets daily without engineer intervention using AWS Bedrock and RAG architecture.
Key Achievements
- $165M AWS portfolio at 85% discounted rate across 85+ teams
- $24M cost savings over 2 consecutive years ($12M/year)
- 4,500 tickets/day auto-resolved by AskGenie RAG system
- $2.3M annual ROI from GenAI automation
- $5.3B payment modernization program (Naazir)
- 45-member engineering practice built at Deloitte
Core Competencies
Solutions Architect, AI/GenAI Leader, RAG Architecture, AWS Bedrock, LangChain, MCP (Model Context Protocol), XGBoost, SageMaker, Cloud FinOps, Terraform, Microservices, Saga Pattern, IoT, Apache Flink, Kinesis, Prometheus, DataDog, Payment Modernization, Machine Learning, NLP, LLM, Computer Vision, Stream Processing, Prompt Engineering, LLMOps, MLOps, Kubernetes, EKS, Lambda, DynamoDB.
View Full Experience
AI & Cloud Projects – 10 Production Systems with Measurable Impact
Enterprise-scale AI, GenAI, and cloud solutions — each solving real business problems with quantified outcomes.
AskGenie — AI Ticket Resolution (GenAI / RAG / Automation)
4,500 tickets/day auto-resolved • $2.3M ROI • 88% confidence threshold. Built RAG-based automation using AWS Bedrock, OpenSearch, Lambda, LLM, NLP.
Ada — Procurement AI Auto-Approval (ML / XGBoost / Fraud Detection)
1,200+ facilities • $10.5M/year savings • 92% auto-approved. XGBoost model with SageMaker, StepFunctions, DynamoDB.
MCP PMO — AI Project Prioritization (MCP / GenAI / Portfolio Management)
RICE Algorithm • 75% time reduction • $192K savings. Model Context Protocol with AWS Bedrock, Prompt Engineering.
Cloud FinOps — $165M Portfolio (AWS / Terraform / Cost Optimization)
$24M savings • 85% discount • 20+ guardrails. Terraform, CloudFormation, FinOps, Cost Explorer.
Naazir — $5.3B Payment Modernization (Microservices / Saga / FinTech)
99.995% uptime • 18-month delivery • Zero incidents. Saga Pattern, ECS Fargate, Aurora, PCI-DSS.
SafeDrive — Real-Time Safety (Stream Processing / IoT / ML)
24% incident reduction • 10K events/sec • 1.5s latency. Apache Flink, Kinesis, IoT, Real-time ML.
Procurement Advisor — IoT Smart Ordering (IoT / Amazon Forecast / Supply Chain)
78K sensors • $7.5M savings • 40% fewer stock-outs. IoT Core, Amazon Forecast, DeepAR, Lambda.
EagleEye — Multi-Market Observability (Prometheus / DataDog / SRE)
2.5M+ data points/day • 15+ markets • 20% throughput gain. Prometheus, DataDog, Grafana, EKS.
Campaign Automation — ML + GenAI (K-Means / GenAI / Personalization)
2.5x ROI • 12% churn reduction • 90 A/B variants. K-Means, XGBoost, AWS Bedrock, SageMaker.
Branchless Banking — AI Avatars (Computer Vision / NLP / Financial Inclusion)
200K users • 40% cost reduction • 95% offline success. Rekognition, Lex, Polly, TFLite, Facial Recognition.
Technology Stack
AI/ML & GenAI: AWS Bedrock, SageMaker, RAG, XGBoost, K-Means, LSTM, LangChain, MCP
Compute & Data: Lambda, ECS Fargate, EKS, DynamoDB, Aurora, Kinesis, OpenSearch
IoT & Edge: IoT Core, Greengrass, SageMaker Neo, TFLite, 78K+ sensors
Observability: Prometheus, DataDog, Grafana, CloudWatch, X-Ray
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