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RS

Ranit Sinha

AI & Cloud Architect · Assistant Manager

Dubai, UAE

@ranit_sinha

LinkedIn

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About

Principal engineer with 10+ years of experience delivering scalable AI and cloud solutions across banking, insurance, and financial services. Specializes in Generative AI, RAG systems, MLOps, DevSecOps, and cloud-native backend architecture on Azure and AWS.

Experience

  • AI & Data II Cloud & AI Architect
    KPMG Global Services
    — – Present

    Architected and built an AWS-native actuarial performance analytics platform for IFRS 17 and Solvency II reporting; engineered an AI-enabled data governance and migration intelligence platform; delivered a regulatory change automation platform with an Azure OpenAI-backed AI assistant.

  • EAS IPM || Retail Banking
    XPS Group
    Dec 2021 – 2025

    Built an enterprise RAG system with LangChain and Pinecone on Azure; implemented multi-agent orchestration with LangGraph; developed MLOps pipelines for training, versioning, deployment, drift detection, and monitoring.

  • EU BFS || Corporate & Investment Banking
    Cognizant Technology Solutions
    Apr 2020 – Dec 2021

    Developed and maintained microservices, integrated downstream APIs, DynamoDB, and Docker-based ECS deployments on AWS; built REST API service and consumer classes with error and event handling; worked on Canary Release and DevSecOps tasks.

  • Application Development Analyst
    Accenture
    Mar 2018 – Apr 2020

    Developed and deployed Java Spring Boot microservices for an insurance migration platform; built RESTful APIs integrated with external payment and provisioning systems; implemented retry mechanisms and event-driven state management workflows.

Education

  • Bachelor of Technology
    Adamas Institute of Technology-Kolkata
    Information Technology: Computer Science and Programming · Mar 2013 – Apr 2017

Skills

2 to 5 years 2 to 5 years Several years of experience.
RAG CI/CD MLOps Monitoring Microservices Machine Learning Cloud Architecture Event-Driven Architecture API Integration Understanding
1 to 2 years 1 to 2 years A year or two of steady use.
DevSecOps Error Handling Release Management
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
AI ETL Data Engineering Backend development Generative AI (ChatGPT, Copilot, Gemini)

Tools / apps / platforms

2 to 5 years 2 to 5 years Several years of experience.
Mlflow Pinecone Amazon SNS Azure Functions Amazon Web Services AWS
1 to 2 years 1 to 2 years A year or two of steady use.
Docker AWS Lambda Amazon Elastic Compute Cloud EC2 Amazon Simple Storage Service S3
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Chroma Terraform PostgreSQL Azure OpenAI SAP software GitHub Actions Microsoft Azure Microsoft Fabric Salesforce software Microsoft Azure DevOps Services

🏆 Achievements & awards

  • On The Spot Award

    Recognized at Tata Consultancy Services / PNC Financial Services.

  • Cognizant Cheers

    Recognition for EAS IPM North America.

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