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AI Specialist with 13+ years of experience applying data mining, statistical modeling, predictive analytics, including 6+ years specializing in machine learning and deep learning for large-scale datasets. Proven track record in building Generative AI applications, developing end-to-end ML pipelines, and implementing ML Ops workflows. Hands-on expertise in predictive modeling, time-series forecasting, and NLP, leveraging Python, Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, SQL, and cloud/HPC environments to deliver scalable, production-ready solutions for both structured and unstructured data.…AI Specialist with 13+ years of experience applying data mining, statistical modeling, predictive analytics, including 6+ years specializing in machine learning and deep learning for large-scale datasets. Proven track record in building Generative AI applications, developing end-to-end ML pipelines, and implementing ML Ops workflows. Hands-on expertise in predictive modeling, time-series forecasting, and NLP, leveraging Python, Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, SQL, and cloud/HPC environments to deliver scalable, production-ready solutions for both structured and unstructured data.

Fatimah Ahmadi Godini

AI Engineer, AI Developer, Data Scientist

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AI Specialist with 13+ years of experience applying data mining, statistical modeling, predictive analytics, including 6+ years specializing in machine learning and deep learning for large-scale datasets. Proven track record in building Generative AI applications, developing end-to-end ML pipelines, and implementing ML Ops workflows. Hands-on expertise in predictive modeling, time-series forecasting, and NLP, leveraging Python, Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, SQL, and cloud/HPC environments to deliver scalable, production-ready solutions for both structured and unstructured data.…AI Specialist with 13+ years of experience applying data mining, statistical modeling, predictive analytics, including 6+ years specializing in machine learning and deep learning for large-scale datasets. Proven track record in building Generative AI applications, developing end-to-end ML pipelines, and implementing ML Ops workflows. Hands-on expertise in predictive modeling, time-series forecasting, and NLP, leveraging Python, Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, SQL, and cloud/HPC environments to deliver scalable, production-ready solutions for both structured and unstructured data.

Available to hire

AI Specialist with 13+ years of experience applying data mining, statistical modeling, predictive analytics, including 6+ years specializing in machine learning and deep learning for large-scale datasets. Proven track record in building Generative AI applications, developing end-to-end ML pipelines, and implementing ML Ops workflows. Hands-on expertise in predictive modeling, time-series forecasting, and NLP, leveraging Python, Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, SQL, and cloud/HPC environments to deliver scalable, production-ready solutions for both structured and unstructured data.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Machine Learning Researcher at Computational Fluid Engineering Laboratory

January 1, 2024 - Present

Applied data mining, statistical analysis, and predictive modeling to extract actionable insights from complex mechanical datasets. Designed and deployed deep learning models such as MLP, LSTM, CNN, and PINN for real-time prediction of mechanical parameters using TensorFlow. Built scalable, reusable machine learning pipelines from raw data to production-ready models. Leveraged HPC and distributed computing for large-scale training and managed source code and collaboration via GitHub.

AI Engineer at Hooshyar Farapuyashgaran Dadeh Company

September 22, 2020 - Present

Developed a large language model-powered application for biomechanical time-series analysis, applying data mining, advanced statistical modeling, and predictive analytics to generate natural-language summaries. Applied computer vision, deep learning, and advanced statistical modeling for biomechanical diagnostics. Automated feature extraction and model validation workflows, handling structured and unstructured sensor and image/video data. Validated models against real-world experiments to ensure reproducibility and reliability.

Visiting Researcher at University of Calgary

October 31, 2023 - May 31, 2024

Applied predictive modeling and time-series analysis to multi-sensor biomechanical datasets. Conducted exploratory data analysis and advanced statistical evaluations to identify key predictive features. Designed, tuned, and deployed deep learning models including CNN, TCN, LSTM, and attention mechanisms.