Victor Ejiasi is a software engineer with 11 years of experience building resilient, production-grade systems across cloud, finance, and lab automation domains. He combines ML and data analytics expertise with hands-on SRE and backend development—contributing to the Azure SDK for Java by improving Blob handling and encoding—and has operated large-scale cloud gaming infrastructure and business-critical remediation pipelines. At Nestlé Health Science he built agentic AI workflows to automate claims classification and entity resolution across SAP, AWS containers, invoice imagery, and EDI data for thousands of SKUs. His background in robotics, C++ control for lab automation, and advanced degrees in intelligent robotics and computer science give him a rare blend of systems-level rigor and ML-first product thinking. Known for integrating LLMs into operational workflows, he focuses on automating repetitive, high-risk processes while preserving human oversight. Based in the Dallas–Fort Worth area, he brings measurable impact in reliability, data integrity, and AI-driven automation.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Nutrition, Bachelor of Science - BS, Nutrition at University of Houston
Graduate Certificate, Artificial Intelligence, Graduate Certificate, Artificial Intelligence at University of South Florida
Master of Science - MS, Intelligent Robotics Systems, Master of Science - MS, Intelligent Robotics Systems at Kennesaw State University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at East Texas A&M University
This repository is for active development of the Azure SDK for Java. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/java/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-java.
Role in this project:
Back-end Developer
Contributions:3 releases, 1374 reviews, 380 commits in 3 years 3 months
Contributions summary:Victor's primary contributions focused on enhancements to the Azure Storage Blob functionality within the Azure SDK for Java. The user implemented UTF-8 encoding for blob names across various methods. They addressed and fixed several code style guidelines and removed unnecessary calls to the `Utility.urlEncode()` method, also modifying failing Groovy tests. These changes improved the handling of blob names and corrected encoding-related issues.
Contributions:2 PRs, 404 pushes, 379 branches in 3 years 9 months
versionedazure-functionssdkconsumersus-en
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