Summary
Overview
Work History
Education
Skills
Websites
Projects
Timeline
Generic

Rajasekhar Narapareddy

Moline,IL

Summary

Tech Lead with 15+ years shipping AI-augmented enterprise platforms at regulated-industry scale - insurance, healthcare, financial services, higher education. Four-plus years into a multi-year DB2 -> FAST migration at Prudential - 10M+ policies, 5,000 contracts, 10-20 engineers across 4 domain squads. Shipped a RAG assistant on Azure OpenAI GPT-4 + LangChain adopted by 30+ analysts: retrieval MRR above 0.85, hallucination rate under 3%, citation-grounded. AWS Certified Solutions Architect - Associate.

Overview

15
15
years of professional experience

Work History

Tech Lead

Acro Systems Inc - Prudential Financial
, Remote
10.2021 - Current
  • Lead 10-20 engineers across four domain squads on a multi-year DB2 -> FAST migration of 10M+ policies and 5,000+ contracts.
  • Contract-by-contract reconciliation diffs gate every cut-over window; 99.9% read availability preserved across releases.
  • Shipped a RAG assistant on Azure OpenAI GPT-4 + LangChain over ETL lineage and COBOL metadata, adopted by 30+ analysts; citation-grounded answers cut investigation from ~4 hours to ~8 minutes, with a human-in-loop eval harness holding retrieval MRR above 0.85 and hallucination rate under 3% before every prompt-template release.
  • Own the DB2 -> Python extract -> S3 -> AWS Glue -> FAST pipeline moving 150K+ CSV files (20-30 per contract across 5,000 contracts), with schema-drift checks and per-contract audit trails.
  • Modeled the Contract domain as an event-sourced write side on AWS EventBridge with CQRS read projections; analyst dashboards hit purpose-built read models at p95 under 120ms - roughly 10x faster than the mainframe-backed path they replaced.
  • Built a Backend-for-Frontend layer that collapses 12-15 downstream calls into a single Contract-shaped payload per view, insulating React remotes from system-of-record churn during the FAST cut-over.
  • Stood up a Micro-Frontend platform on Webpack 5 Module Federation - four domain teams ship React remotes independently into one host shell; release cadence per domain moved from quarterly to weekly.
  • Hardened customer identity with CIAM (OAuth 2.0 / JWT / OIDC) across legacy and modernized UIs, unifying sign-on across the migration boundary.
  • Rebuilt delivery on GitHub Actions + Jenkins with contract tests, automated canary deploys, and observability gates; deployment lead time dropped from days to under 2 hours; change-failure rate under 5%.
  • Tech: Java 17, Python, TypeScript, Spring Boot, AWS (Glue, S3, EventBridge, Lambda, ECR), Azure OpenAI (GPT-4), LangChain, DB2, Module Federation, CQRS, CIAM, Docker, CI/CD

Senior Software Engineer

Washington University in St. Louis
St. Louis, MO
03.2020 - 10.2021
  • Designed cloud-native integration platform connecting 3 enterprise systems (Unifier, KFS, Jaggaer) via 8 Spring Boot microservices on Red Hat OpenShift, processing 5,000+ daily transactions.
  • Implemented event-driven architecture with RabbitMQ handling 10,000+ messages/day, achieving sub-second synchronization of purchase orders, requisitions, and invoices with 99.95% delivery reliability.
  • Developed 4 Oracle APEX web applications for payroll and parking services, automating deduction workflows that eliminated 25 hours/week of manual processing for 3,000+ employees.
  • Deployed 8 containerized services on OpenShift using ConfigMap, Secrets, and Service Registry, reducing deployment cycles from 2 days to 3 hours with zero-downtime releases.
  • Tech: Java 8, Spring Boot, Red Hat OpenShift, Oracle APEX/ORDS, RabbitMQ, Oracle Exadata

Lead Software Engineer

Washington University in St. Louis
St. Louis, MO
02.2018 - 01.2020
  • Led development of Bio-Specimen Management System using Java EE, Grails, and Spring, managing 200,000+ clinical specimen records across 15 research studies with 100% HIPAA compliance.
  • Designed 8 Pentaho ETL pipelines processing 500,000+ clinical records monthly, reducing data preparation time from 3 days to 4 hours for observational study analysis.
  • Built automated reporting platform generating 50+ weekly clinical reports via BIRT, reducing manual report creation from 4 hours to 15 minutes per report.
  • Managed CI/CD pipelines with Jenkins and Ansible deploying to 6 RHEL environments, cutting release cycles from 2 weeks to 2 days with 95% automated test coverage.
  • Tech: Java 8, Spring, Grails, Pentaho ETL, BIRT Reports, Jenkins, Ansible, RHEL, Oracle 11g

Lead / Senior Software Engineer

CVS Health (via Infosys)
01.2016 - 01.2018
  • Developed HIPAA-compliant MDM platform on IBM InfoSphere processing 8M+ patient records from 12 source systems, achieving 99.97% uptime for mission-critical healthcare operations.
  • Built high-throughput batch processing systems using Spring Batch, processing 1.5M+ records nightly and reducing batch completion time by 50% through chunk-based optimization.

Lead / Senior Software Engineer

Tata Consultancy Services
01.2011 - 01.2014

Education

Master of Science - Electrical Engineering

The University of Texas at Arlington

Bachelor of Science -

SASTRA University

Skills

  • Java 17
  • Python
  • TypeScript
  • SQL (DB2, PostgreSQL, Oracle)
  • Azure OpenAI
  • GPT-4
  • LangChain
  • RAG
  • Vector Stores (pgvector, OpenSearch)
  • Prompt Engineering
  • LLM Guardrails
  • Eval Harnesses (retrieval MRR, hallucination rate)
  • React
  • Nextjs
  • Webpack 5 Module Federation (Micro-Frontends)
  • Spring Boot
  • Nodejs
  • FastAPI
  • REST
  • GraphQL
  • Kafka
  • AWS (Lambda, EventBridge, S3, Glue, ECS, API Gateway)
  • Docker
  • Kubernetes
  • Terraform
  • Micro-Frontends
  • Backend-for-Frontend
  • CQRS
  • Event-Sourcing
  • Domain-Driven Design
  • CIAM
  • OAuth 20
  • JWT
  • OIDC
  • SAML
  • GitHub Actions
  • Jenkins
  • CI/CD
  • Datadog
  • Splunk
  • CloudWatch

Projects

  • AI Gateway Platform, Built centralized API layer for LLM access (Azure OpenAI, AWS Bedrock). Implemented rate limiting, cost tracking, and audit logging. Standardized LLM usage across multiple applications.
  • Zero-Downtime Data Migration & Reconciliation Engine, Orchestrates large-scale data migrations with zero downtime. Automated validation and reconciliation with configurable rules. Built with Python, AWS Glue, S3, and Apache Spark.
  • Cost-Aware Observability Platform, Built monitoring system using OpenTelemetry, Prometheus, and Grafana. Correlated logs, metrics, and traces for system-level insights. Intelligent cost optimization across infrastructure.
  • ShopKrisha.com, Full-stack e-commerce platform with product catalog, cart, and checkout. Built with React, Next.js, Node.js, TypeScript.

Timeline

Tech Lead

Acro Systems Inc - Prudential Financial
10.2021 - Current

Senior Software Engineer

Washington University in St. Louis
03.2020 - 10.2021

Lead Software Engineer

Washington University in St. Louis
02.2018 - 01.2020

Lead / Senior Software Engineer

CVS Health (via Infosys)
01.2016 - 01.2018

Lead / Senior Software Engineer

Tata Consultancy Services
01.2011 - 01.2014

Master of Science - Electrical Engineering

The University of Texas at Arlington

Bachelor of Science -

SASTRA University
Rajasekhar Narapareddy