Projects

High-throughput LLM API orchestration for running many requests reliably and efficiently.

Focus: Performance, reliability, and developer ergonomics.

Structured outputs from language models — predictable, schema-driven results instead of fragile text parsing.

Knowledge distillation for BERT-style models, inspired by MiniLM-style approaches — smaller, faster models with strong performance.