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.

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.

Available to hire

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.

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Language

English
Advanced

Work Experience

AI Researcher at Armcor
January 1, 2024 - October 31, 2024
Conducted AI research and development activities focused on applied machine learning and related engineering tasks.
Freelancer - Data Scientist and AI Researcher
May 1, 2021 - February 28, 2026
Worked on data science and AI research projects spanning forecasting, NLP, computer vision, and applied deep learning, including hybrid systems that connect time-series modeling with language-based analytics and automated diagnostic outputs for dashboards.
Data Scientist at Autometrics
October 1, 2019 - March 31, 2021
Developed monitoring and outlier filtering pipelines and built a hybrid approach combining deep time-series forecasting with an NLP architecture to quantify impacts of external drivers such as marketing campaigns and public sentiment, including automated diagnostic plots for analytics dashboards.

Education

Doctor of Philosophy (PhD), Transportation Engineering at Imam Khomeini International University
September 1, 2017 - August 31, 2024
Master of Science (MSc), Transportation Engineering at Iran University of Science and Technology
September 1, 2015 - September 1, 2017
Bachelor of Science (BSc), Surveying Engineering at Shahid Rajaee Teacher Training University
September 1, 2011 - August 31, 2015

Qualifications

Add your qualifications or awards here.

Industry Experience

Professional Services, Transportation & Logistics, Education, Media & Entertainment, Software & Internet