Anindya Poddar

About Anindya Poddar

AI-driven software, java full stack engineer and security architect and hands-on…

Experience

1. Sr Technical Architect Sr Staff Engineer Tech Lead

   Experian

   Nov 2016 — Present · Dallas-Fort Worth, TX, US

   Spearheaded and developed full-stack CUDA API solutions using Angular for UI and Spring Boot for backend services, ensuring scalable, secure and robust REST APIs and seamless integration with Oracle databases and Kafka messaging Led multiple engineering squads as a technical lead and mentor, driving architectural decisions, promoting clean code practices, and fostering growth among junior developers. Delivered cloud-ready applications by modernizing legacy middleware systems and deploying to AWS using CI/CD pipelines, improving release velocity and platform resilience. Engineered scalable microservices using Java, AWS Lambda, API Gateway to process high‑throughput event streams—designing clean, modular services with robust error‑handling and retry logic. Championed Agile practices in cross-functional teams, closely collaborating with data engineering, architecture, and DevOps to align on rapid product iterations and business goals. Designed and enforced enterprise-wide API security standards—OAuth 2.0, JWT scope, TLS encryption, dynamic rate limiting—to strengthen access controls without slowing developer velocity Conducted threat modelling, fuzz testing, and pen-testing, reducing critical API vulnerabilities by ~40% within six months Monitored gateway traffic to detect misuse and attack patterns; automated mitigation workflows in collaboration with DevOps to contain risks proactively Embedded security into DevSecOps pipelines with automated SAST, DAST, schema validation, and threshold-based CI gating to ensure only vetted APIs reach production Architected and deployed a full-stack monitoring system using Prometheus and Grafana, reducing incident response times by ~35% Developed and maintained IaC pipelines with Terraform, automating environment provisioning and reducing manual setup time by ~70% Event‑Driven Credit Risk Modeling: Integrated Kafka-based pipelines for ML scoring in real-time API

Education

• IIEST, Shibpur

  Metallurgical Engineering

• Indian Institute of Science (IISc)

  Master’s Degree, Metallurgical Engineering

• Louisiana State University

  Master’s Degree, Computer Science

  2008

• Louisiana State University

  Doctor of Philosophy (Ph.D.), Computer Science

  2011 — 2011

Skills

• Java
• Management
• Vendor Management
• Software Development
• Software Development Life Cycle (Sdlc)