Priya Sharma

Priya Sharma is an ML engineer and technical writer focused on large language models for software development. She covers Claude AI coding workflows, model provider comparisons, and benchmark-driven guidance for choosing the right LLM inside Cursor and other AI IDEs. Priya spent four years at an AI research lab benchmarking code-generation models before moving into developer advocacy. Her articles break down model capabilities, context windows, latency trade-offs, and prompt strategies with the rigor of an engineer and the clarity of a teacher. Priya's readers rely on her for honest assessments of when Claude, GPT, Gemini, or open-weight models deliver the best results for specific coding tasks.