Vahid Noferesti

I’m Vahid Noferesti, a senior AI & Data Scientist with 8+ years of experience building and deploying machine learning systems for time-series forecasting, computer vision, NLP, and generative AI. My work spans LSTM, convolutional time-series models, Transformers, hybrid architectures, and multi-agent reinforcement learning—turning complex research ideas into scalable pipelines that deliver measurable outcomes.

I also have strong hands-on expertise in fine-tuning open-weight LLMs (including LLaMA) with Hugging Face and building end-to-end RAG solutions, often combining language models with vision systems. From optimizing HVAC energy usage using LSTM+TD3, to forecasting vehicle sales with automated data ingestion from external sources, I enjoy designing robust data workflows, model training strategies, and inference-ready architectures using PyTorch, TensorFlow, and AWS.