Ted Zhang
AI/ML-focused Software Engineer and CS candidate specializing in LLM evaluation, DevOps automation, and AI system integration
Talent
Cupertino, CAMember since June 2, 2026
PythonTypeScriptC++JavaSQLYAMLBicepLuaGitDockerLinuxAzure DevOpsMicrosoft AzureFirebaseNext.jsLangChainLLM evaluationRAG pipelinesAdversarial testingLLM benchmarkingModel fine-tuningCI/CD for AI systems
·
Hire this person
Send a job offer directly to this candidate
PythonTypeScriptC++JavaSQL
About
AI/ML-focused Software Engineer and CS candidate specializing in LLM evaluation, DevOps automation, and AI system integration. Audited 1,000+ Python files for production quality; built CI/CD pipelines accelerating AI model deployment at ASML.
Experience
AI Evaluation Engineer - HandShake - Tempe, AZ
(2026-04)
- Designed adversarial test suites targeting model reasoning and code generation, surfacing systematic failure modes across edge-case inputs.
- Developed "Golden Solutions" for complex engineering problems, establishing LLM performance benchmarks to measure generation quality and consistency.
DevOps Engineer - ASML - San Jose, CA
(2025-05 - 2025-08)
- Built CI/CD pipelines automating AI model integration into production workflows, reducing manual handoff steps and accelerating release cycles.
- Provisioned infrastructure-as-code using Azure Bicep, standardizing cloud environments and cutting provisioning time across AI research and production teams.
- Configured network authentication securing cloud-hosted ML resources; aligned DevOps practices with AI research and model deployment requirements.
Software Quality Assurance Engineer - ASML - San Jose, CA
(2024-05 - 2024-08)
- Audited 1,000+ Python files for accuracy, functionality, and security compliance, establishing quality standards for production scripts.
- Implemented ML models to analyze Confluence test and design documents, automatically flagging missing information and critical gaps for engineering teams.
- Conducted automated and manual testing of Python scripts across functionality, usability, and security checkpoints.
Education
B.S. - Computer Science - Arizona State University (2022-08 - 2026-05)
Skills
DevOps automationand AI system integration

