error analysis , Retrieval-augmented generation (RAG, Local large language model (LLM systems, Python, Sql, Linux, Pytorch, Git, Regression Testing, Docker, Apis, Human-review workflows, NLP analytics, Vector databases, Hugging Face, Access Control, Output provenance, LoRA, Model isolation, Security robustness testing, Model fine-tuning, Performance optimization, Backend APIs, Audit logging, Traceable retrieval, GPU deployment, Containerized deployment

Pytorch, Python, multi-GPU sharding, TensorRT-LLM, SAM, open-weight foundation models, agentic AI, Hugging Face ecosystem, LLMs, quantisation, Grounding DINO, SGLang, vLLM, DINOv2, Distillation, VLMs, large vision models, MCP

Tensorflow, Pytorch, Python, Self-supervised learning, Large language models, Domain adaptation, Multimodal representation learning

Python, Tensorflow, Pytorch, Multimodal representation learning, Multimodal AI video analysis, Domain adaptation, Self-supervised learning, Large language models