Mayank Patel

About Mayank Patel

Senior Software Developer with 13+ years of experience designing and building scalable backend systems in the Financial Services and Insurance domain.I specialize in Python-based API development and AWS cloud services (EC2, Lambda, S3, IAM), supporting life insurance policy administration and claims processing platforms.My experience includes designing RESTful services, implementing complex business logic for policy lifecycle and claims workflows, and supporting high-volume production environments.Recently contributed to Retrieval-Augmented Generation (RAG) based solutions to enhance internal knowledge retrieval for policy and claims documentation using semantic search and LLM integration.Strong focus on secure, compliant, and cloud-native architectures aligned with enterprise standards.

Experience

1. Senior Ai Ml Python Cloud Architect

   Prudential Financial

   Jun 2023 — Present · Newark, NJ, US

   OpenAI/Hugging Face) for faster claims review. And Implemented NLP & GenAI models (OpenAI, Hugging Face) for auto-summarization ofclaim notes Automated claims intake and validation workflows using Azure Logic Apps, reducing manual intervention in processing.Performed regular Drupal core and contributed module upgrades, applied security patches, and resolved vulnerabilities in alignment with Prudential security and compliance standards.Designed and developed scalable Python microservices using FastAPI/Flask, deployed on AWS ECS Fargate with distributed logging, metrics, and tracing via CloudWatch and OpenTelemetry.Configured and customized Drupal content types, views, blocks, menus, taxonomies, and layouts to support business, claims, and operational workflows.Automated deployment and configuration of prudential claims-related applications using CI/CD pipelines (Jenkins, GitLab CI/CD) to ensure reliable releases across environments.Utilized MongoDB (PyMongo) to design flexible document schemas for customer, claims, and transaction data, optimizing queries using aggregation pipelines.Built modular data models for claims, policies, and user profiles, enabling seamless integration between Python microservices and front-end React applications.Configured Drupal content types and custom forms to capture claim details, claimant information, and supporting documents, integrating validation rules and workflows.Designed and deployed cloud-native web applications using Kubernetes Service (AKS) with Helm charts for microservices orchestration and scaling.Automated infrastructure provisioning using Terraform and managed CI/CD pipelines with GitLab Runners, ensuring seamless code integration, testing, and deployment.Integrated Drupal prudential claims portals with backend claims processing systems and APIs, enabling real-time claim status updates and data synchronization.

Education

• RKDF UNIVERSITY

  Bachelor of Science - BS, Computer Science