Kiran Chitturi
Senior Machine Learning Engineer at Apple
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolKiran Chitturi is a Senior Machine Learning Engineer in Seattle with 12+ years building scalable search and ML platforms for enterprise and consumer applications. At Apple he leads architecture for Retail Decision Automation, combining ranking models, vector search, and audit-ready evaluation to power the online retail experience. Previously at Lucidworks he designed streaming, Spark/Flix/Trino-based data lakes, multi-tenant ML search services, and productionized model serving and lineage systems that handle billions of metrics. He blends hands-on backend engineering (notably contributions to spark-solr and Solr integration work) with platform-level product thinking, shipping CI/CD, Kubernetes, and Pulumi-backed infrastructure. An Apache committer and former Nutch PMC member, he brings deep search and IR expertise rooted in his Virginia Tech research on digital libraries. Colleagues rely on him for solving complex, auditable ML workflows that bridge research, streaming systems, and production search.
12 years of coding experience
12 years of employment as a software developer
Masters of Science Computer Science and Applications, Masters of Science Computer Science and Applications at Virginia TechUnder Graduate Information Technology, Under Graduate Information Technology at Gandhi Institute of Technology and Management
English, Telugu
Github Skills (6)
javas10
spark10
solr10
java10
user-authentication9
authentication9
Programming languages (8)
Github contributions (5)
lucidworks/spark-solr
Oct 2015 - Jun 2020
Tools for reading data from Solr as a Spark RDD and indexing objects from Spark into Solr using SolrJ.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 releases, 558 commits, 159 PRs in 4 years 8 months
Contributions summary:Kiran's contributions primarily involved modifying and enhancing the `FusionPipelineClient.java` class, suggesting a focus on the backend components of the project. The commits include merging branches, creating models, and refactoring related tests within the `src/main/java` and `src/test/java` directories. This user worked on implementing features for indexing objects from Spark into Solr using SolrJ, dealing with authentication and security.
solrindexingsparksolrjrdd
lucidworks/zeppelin-solr
Aug 2017 - Jan 2019
Apache Solr interpreter for Apache Zeppelin
Contributions:36 commits, 5 PRs, 31 pushes in 1 year 5 months
solrapache-zeppelinapachezeppelinapache-solr
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.