Naveen Anamaneni

01

Impact

• 12+ yearsBuilding enterprise softwareSince 2014
• Up to 20×Performance improvements across critical Spark & AWS Glue workloadsExperian, 2022 to 2024
• ~30%Improved development throughput for participating teams via an AI-assisted engineering platformCGI, 2025 to present
• ~80%Reduction in identified security risk through vulnerability remediationCapital One, 2024 to 2025

02

How I work

1. Specification first

   Write down what the system must do before writing the code that does it.

2. Design review before implementation

   Catch the expensive mistakes while they are still cheap to fix.

3. Evaluation over gut feel

   Measure retrieval accuracy, answer quality and performance instead of guessing.

4. Reusable platform patterns

   Solve a problem once, in a way other teams can pick up.

5. GenAI inside real workflows

   AI earns its place when it is part of how the business already works.

Core competencies

• Platform Engineering
• Enterprise Architecture
• AI System Design
• Cloud Modernization
• Distributed Data Platforms
• Full-Stack Development

03

Experience

1. CGI

   Staff Software Engineer, Full Stack & AI Platform

   Jul 2025 – PresentPlano, TX

   • Architected and built an enterprise RAG platform end to end: Java/Spring Boot and Python retrieval services, embedding pipelines, vector search, document ingestion and React/TypeScript interfaces.
   • Established an AI-assisted engineering platform with Claude Code, Codex and GitHub Spec-Kit for specification-first development, improving development throughput by about 30% for participating teams.
   • Built an LLM/RAG evaluation framework measuring retrieval accuracy, answer quality and hallucination rate across releases.
   • Designed the prompt orchestration and AI safety layer: context filtering, sensitive-data redaction, prompt versioning, model routing and policy enforcement.
   • Java
   • Spring Boot
   • Python
   • React
   • TypeScript
   • AWS Lambda
   • Step Functions
   • RAG
   • Vector DBs
   • OpenAI
   • Anthropic

2. Capital One

   Staff Software Engineer, Cloud & Platform Engineer

   Mar 2024 – Jul 2025 · Jun 2022 – Dec 2022Plano, TX

   • Led architecture, technical design and delivery for a critical cloud-native platform program, reducing delivery timelines by about 15%.
   • Drove vulnerability remediation across services and infrastructure, reducing identified security risk by about 80%.
   • Owned the high-volume real-time transaction path on Amazon Kinesis and AWS Lambda, designed for fault isolation and low latency.
   • Java
   • Spring Boot
   • React
   • Node.js
   • AWS Lambda
   • Step Functions
   • Kinesis

3. Experian

   Staff Software Engineer, Data & Cloud Platform

   Dec 2022 – Mar 2024Plano, TX · Remote

   • Optimized large-scale Spark and AWS Glue pipelines, achieving up to 20× performance improvements on critical workloads.
   • Modernized batch processing into automated, event-driven workflows with Glue Workflows, Lambda, SNS, SQS and Kafka.
   • Designed reusable distributed data-platform patterns for ingestion, transformation, orchestration and downstream consumption.
   • Java 17
   • Spring Boot
   • Scala Spark
   • PySpark
   • AWS Glue
   • Kafka
   • SNS
   • SQS

4. Xylem Inc

   Senior Java Engineer, Microservices & Platform

   Sep 2018 – Apr 2022India

   • Designed and developed enterprise-scale microservices with Java, Spring Boot and Kafka.
   • Mentored junior engineers and led code reviews, establishing practices adopted across the team.
   • Automated CI/CD and containerized deployments with Jenkins, Kubernetes and Amazon EKS.
   • Java 8
   • Spring Boot
   • Kafka
   • PostgreSQL
   • Kubernetes
   • EKS
   • Jenkins

5. Société Générale

   Senior Software Engineer, Backend & Distributed Systems

   Jul 2017 – Sep 2018India

   • Built credit risk analysis systems on Spring MVC, with IBM Risk Watch handling the heavier financial calculations.
   • Rewrote the risk computation and cut its runtime roughly in half.
   • Led the move from a monolith to microservices.
   • Java
   • Spring MVC
   • Oracle
   • Kafka
   • WebLogic

6. Tecnotree Convergence

   Software Engineer, Full Stack & Backend

   May 2014 – Jul 2017India

   • Built full-stack applications for telecom operators with Java, JSP, Servlets and AngularJS.
   • Rewrote NoSQL queries for about 25% faster retrieval on large telecom datasets.
   • Added WSO2 single sign-on across the application suite.
   • Java
   • JSP
   • AngularJS
   • REST APIs
   • NoSQL
   • WSO2

04

Open source

Most of my professional work lives in private enterprise repositories.

05

Skills

Languages

Java (8, 11, 17) · Python · TypeScript · JavaScript · Scala · Go · SQL

Backend

Spring Boot · Microservices · REST · GraphQL · Kafka · Kinesis · Event-driven architecture · Redis

Frontend

React · Angular / AngularJS · TypeScript · HTML5 · CSS3

AI / GenAI

RAG · Vector databases · Embeddings · LLM evaluation · Prompt engineering · LangChain · AWS Bedrock · AI governance

Cloud & DevOps

AWS · Lambda · Step Functions · EKS / ECS · Terraform · Docker · Kubernetes · CI/CD

Data

Apache Spark · AWS Glue · ETL pipelines · Streaming · PostgreSQL · Oracle · NoSQL

06

Credentials