Vani Mudadla
MLOps Engineer Data Science Pipelines Developer
Dallas-Fort Worth Metroplex United States
Summary
🤩
Rockstar🎓
Top SchoolVani Mudadla is an MLOps Engineer and Data Science Pipelines Developer with about 4 years of professional experience building infrastructure that operationalizes enterprise machine learning. Based in the Dallas–Fort Worth area, she combines hands-on MLOps work at Red Hat with a strong Java backend background from years contributing to prominent open-source projects like jBPM, Drools integrations, and Kogito runtimes. Her contributions show a mix of engineering and QA rigor—implementing core process-variable logic, improving Prometheus metrics for job execution, and hardening tests around error and retry scenarios. Trained in AI/ML through a postgraduate program at UT Austin and grounded in a Computer Science bachelor’s, she bridges classical BPM systems and cloud-native ML automation. Colleagues rely on her ability to translate complex workflow semantics into robust, observable production systems.
4 years of coding experience
6 years of employment as a software developer
PG Program Artificial Intelligence & Machine Learning, PG Program Artificial Intelligence & Machine Learning at The University of Texas at AustinBachelor’s Degree Computer Science Engineering, Bachelor’s Degree Computer Science Engineering at Anil Neerukonda Institute Of Technology & Sciences
English, Telugu
Github Skills (18)
business-process10
jbpm10
testing10
workflow-engine10
business-process-management10
java10
javas10
prometheus10
bpmn10
metric10
drools9
spring-boot9
junit9
cloud-native8
quarkus8
Programming languages (12)
Github contributions (5)
kiegroup/jbpm
Nov 2021 - Aug 2022
a Business Process Management (BPM) Suite
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 reviews, 19 commits, 15 PRs in 9 months
Contributions summary:Vani primarily contributed to the codebase by implementing and updating process variable default value functionalities. Their work included modifications to core Java classes related to process instances and variable scopes within the jBPM framework. The user also wrote and updated test cases to ensure the correct behavior of default variable values in various scenarios including complex object types. They also made updates to the test cases and indentation.
business-process-managementprocess-engineprocess-managementbpmncase-management
apache/incubator-kie-kogito-runtimes
Dec 2021 - Dec 2022
Kogito Runtimes - Kogito is a cloud-native business automation technology for building cloud-ready business applications.
Role in this project:Back-end Developer
Back-end DeveloperContributions:10 reviews, 8 commits, 22 PRs in 11 months
Contributions summary:Vani primarily contributed to the Kogito Runtimes project by implementing and refining core features related to process variable handling, default values, and event generation for various workflow engines. They made changes to Java code within the jBPM engine, enhancing process definition and execution. Additionally, the user addressed integration issues with Spring Boot and improved event handling, including data content types, demonstrating a focus on cloud-native business automation aspects of the project.
kogitoknativebusiness-automationrule-enginedrools
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