David Zhang

Software Engineering Intern — Distributed Networking

• —Shipping features in Java for large-scale distributed networking systems powering high-availability enterprise infrastructure.
• —Built ETL pipelines validating data integrity across distributed PostgreSQL clusters; designed dashboards surfacing throughput and system health in real time.
• —Driving REST API design across distributed service components — scalability and reliability wins through sprint delivery and structured code review.

Code Specialist — Frontier LLM Training & Evaluation

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

AI Research Intern

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

Technical Advisor Intern

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

Software Engineering Intern

• —Built 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.