David
Zhang

Software Engineering Intern, Quality Engineering — IBM Guardium

• 01Architected automated end-to-end test suites with Playwright, validating functional correctness, reliability, and security across IBM Guardium's web-facing components.
• 02Drove quality assurance for MCP (Model Context Protocol) server integration, verifying secure AI-agent access to enterprise PostgreSQL data stores under enforced governance and access controls.
• 03Built data-integrity validation pipelines and expanded REST API test coverage; led defect triage and peer code reviews within an agile delivery workflow.

Code Specialist — Frontier LLM Training & Evaluation

• 01Author and review high-signal code datasets used to train and evaluate frontier LLMs across systems, algorithms, and language-design problems.
• 02Stress-test model code-generation in C++, Python, and CUDA against tricky edge cases — feedback loops feed directly into downstream reasoning benchmarks.

AI Research Intern

• 01Researched ML approaches for multi-agent task allocation and open-domain question answering; deployed a full-stack analytics platform in Next.js and PostgreSQL.
• 02Leveraged Python and C++ with strong OOP patterns to implement modular QA solvers and agent decision-making pipelines, enabling rapid experimentation.
• 03Simulated and validated task allocation pipelines in Gazebo and ROS2, evaluating real-world applicability of learned planning strategies.

Technical Advisor Intern

• 01Evaluated LLM and GenAI training datasets alongside Google DeepMind researchers on the ARC-AGI dataset; validated solutions for Humanity's Last Exam.
• 02Performed feature engineering on model evaluation datasets, identifying high-signal labeling patterns that improved downstream LLM performance.

Software Engineering Intern

• 01Built a React-based MVC app visualizing 20+ years of AC unit data; architected ETL pipelines in Python to extract and transform data from AWS S3 with retrieval via REST APIs.