Senior Python Developer — LLM training and prompt curation (TURING)
Trained and fine-tuned LLMs for agentic and agentless code generation tasks, focusing on multi-language reasoning and structured outputs. Curated prompt sets to support both function-level and end-to-end task completion workflows. Contributed to multi-turn agentic workflows and self-reflective code synthesis improvements. • Optimized code-generation performance across Python, Go, and SQL tasks. • Worked on model training initiatives for Meta and Google projects. • Designed prompt strategies to elicit structured responses and correct function behavior. • Delivered outputs that consistently received task ratings of 4.0–4.5/5.