Resume

Navaneeth Rao

Staff Software Engineer · 13+ years in cloud-native systems, ML infrastructure, and high-scale backend platforms.

Professional Summary

Staff Software Engineer with 13+ years building distributed cloud platforms, ML serving systems, high-throughput backend systems, and developer infrastructure at scale. Consistent record of business impact: $3M+ in cost savings, 30% efficiency gains, and 99.99% uptime across high-scale production systems. Experienced in system design leadership, architecture governance, and cross-team technical mentorship. Deep expertise in Java, Kubernetes, AWS, and GCP across ML inference, financial systems, and platform engineering, with graduate training in computer science (UT Dallas) and business (UIUC MBA, 3.95 GPA).

Experience

Staff Software Engineer

Walmart
Apr 2024 – Present

Migrated Walmart Search clusters from single-tenant to secure multi-tenant Kubernetes model serving, improving availability to 99.9% and reducing inference latency by 25%. Designed multi-tier inference routing across multi-tenant, multi-locale environments supporting hundreds of millions of daily queries. Engineered query normalization and tokenization adopted across Search teams, and established architecture governance and distributed systems training programs.

Staff Software Engineer

PayPal
Feb 2023 – Apr 2024

Engineered a Financial Risk Reporting platform on GCP processing 10M+ daily transactions for fraud detection and chargeback analytics. Orchestrated a Databricks analytics platform (30% efficiency gain), migrated core workflows from RDBMS to DynamoDB (30% cost reduction), and led ORM-based data-layer modernization that cut the feature-to-production lifecycle by 50%.

Senior Software Engineer

Ford Motor Company
Oct 2019 – Feb 2023

Designed the Azure Right-to-Provision service automating subscription creation and budget management for 5,000+ engineers. Built a TypeScript RBAC system with automated cloud billing, led end-to-end delivery of the Cloud Portal 2.0 developer experience platform, and built a Java/Kafka observability system reducing mean time to detection for incidents.

Software Engineer / Team Lead

IBM
Aug 2016 – Sep 2019

Led monitoring and alerting across 50+ data centers and 10,000 servers with Icinga, Grafana, and PagerDuty, maintaining 99.99% uptime for IBM Cloud. Built a 500 TB/day logging pipeline with Logstash, Kafka, Elasticsearch, and Kibana informing $3M+ in cost reductions. Led a cross-functional team of 10 engineers and served as SME for L1 escalations on a 15-minute SLA.

Service Engineer Intern

Microsoft
May 2015 – Aug 2015

Overhauled the in-house Azure billing system in Java, delivering a 40% performance improvement and increased pipeline reliability. Implemented Cassandra data modeling and query optimization for a real-time analytics platform, achieving 50% faster data retrieval.

Senior Systems Engineer

Infosys
Aug 2012 – Aug 2014

Delivered web-security projects for ANZ Bank using Java and the Spring Framework. Developed an Android OTP authentication app that reduced unauthorized access by 50%. Trained 5 interns in the Finacle e-Banking Framework and RESTful API design; all five shipped features to production.

Technical Skills

Education

MBA, Business Administration · GPA 3.95

Gies College of Business, University of Illinois Urbana-Champaign
2022 – 2024

MS, Computer Science · Machine Learning & Big Data · GPA 3.9

The University of Texas at Dallas
2014 – 2016

B.Eng, Information Science

Visvesvaraya Technological University
2008 – 2012

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