Senior C# Engineer / POD Lead - Google Gemini LLM at Turing
Worked on a large-scale code data labeling and evaluation project for a Google Code LLM (Gemini), focused primarily on C#/.NET. The project involved reviewing, annotating, and improving model-generated code responses across a wide range of tasks, including algorithmic problem solving, system design explanations, async/concurrency scenarios, collections and data structures, and best-practice usage of the .NET ecosystem. Tasks included assessing correctness, logical completeness, performance characteristics, edge-case handling, and code clarity, as well as rewriting or refining responses to meet high production-quality standards. The project operated at scale with continuous task throughput and strict quality benchmarks, contributing to the iterative improvement of the model’s reasoning and code generation capabilities.