March 2026 — Harden quantization path for sequence classification models in the jeejeelee/vllm project. Delivered a targeted bug fix for quantization handling in the Qwen3 (VL) Reranker score layer, improving stability, inference reliability, and scoring accuracy when online-derived weights come from the LM head. The change reduces runtime errors in quantized deployments and supports robust production-grade reranking in downstream systems.

Month 2025-08: Implemented Qwen3 Mixture of Experts (MoE) support in the TensorRT backend for nv-auto-deploy/TensorRT-LLM. This included updating model configurations, conversion scripts, and model definitions to correctly handle the Qwen3 MoE architecture and ensure compatibility within the TensorRT-LLM framework. The work was delivered via a dedicated commit and lays the groundwork for MoE deployment efficiency in production.