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I am an Artificial Intelligence Engineer with hands-on experience in machine learning pipelines and data workflows. I am proficient in Python, TensorFlow, and Scikit-learn, with a strong foundation in AI and data analysis. I have successfully supported AI-driven processes and automation, and I’m always eager to learn and collaborate in dynamic environments. Throughout my career, I have developed projects ranging from EEG signal classification to cost forecasting and MLOps pipelines, consistently applying my skills to deliver actionable insights and scalable solutions. I value teamwork and am passionate about leveraging AI to solve real-world problems.…I am an Artificial Intelligence Engineer with hands-on experience in machine learning pipelines and data workflows. I am proficient in Python, TensorFlow, and Scikit-learn, with a strong foundation in AI and data analysis. I have successfully supported AI-driven processes and automation, and I’m always eager to learn and collaborate in dynamic environments. Throughout my career, I have developed projects ranging from EEG signal classification to cost forecasting and MLOps pipelines, consistently applying my skills to deliver actionable insights and scalable solutions. I value teamwork and am passionate about leveraging AI to solve real-world problems.

Salar Beigzad

AI Engineer, AI Developer, AI Strategy Consultant, +2

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I am an Artificial Intelligence Engineer with hands-on experience in machine learning pipelines and data workflows. I am proficient in Python, TensorFlow, and Scikit-learn, with a strong foundation in AI and data analysis. I have successfully supported AI-driven processes and automation, and I’m always eager to learn and collaborate in dynamic environments. Throughout my career, I have developed projects ranging from EEG signal classification to cost forecasting and MLOps pipelines, consistently applying my skills to deliver actionable insights and scalable solutions. I value teamwork and am passionate about leveraging AI to solve real-world problems.…I am an Artificial Intelligence Engineer with hands-on experience in machine learning pipelines and data workflows. I am proficient in Python, TensorFlow, and Scikit-learn, with a strong foundation in AI and data analysis. I have successfully supported AI-driven processes and automation, and I’m always eager to learn and collaborate in dynamic environments. Throughout my career, I have developed projects ranging from EEG signal classification to cost forecasting and MLOps pipelines, consistently applying my skills to deliver actionable insights and scalable solutions. I value teamwork and am passionate about leveraging AI to solve real-world problems.

Available to hire

I am an Artificial Intelligence Engineer with hands-on experience in machine learning pipelines and data workflows. I am proficient in Python, TensorFlow, and Scikit-learn, with a strong foundation in AI and data analysis. I have successfully supported AI-driven processes and automation, and I’m always eager to learn and collaborate in dynamic environments.

Throughout my career, I have developed projects ranging from EEG signal classification to cost forecasting and MLOps pipelines, consistently applying my skills to deliver actionable insights and scalable solutions. I value teamwork and am passionate about leveraging AI to solve real-world problems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Kurdish

Advanced

Persian

Advanced

Work Experience

Data Engineer & Applied ML Analyst at Azargisha and Besaz Larzeh Melal, Construction Company

July 1, 2022 - July 22, 2025

Engineered SQL and Oracle databases to streamline data ingestion and transformation, supporting AI-driven candidate filtering processes. Automated analytics dashboards using Python (Pandas, NumPy), Excel macros, and Power BI for real-time data analysis relevant to candidate evaluation and ranking. Utilized regression models and time-series analysis in Python to detect trends and forecast performance, enhancing recruitment strategies. Implemented scalable ETL pipelines consolidating multi-source data for AI-driven data analysis and candidate filtering. Performed variance analysis using earned value metrics integrated into predictive dashboards with Tableau to improve decision-making. Collaborated cross-functionally to optimize resource forecasting using clustering techniques and statistical inference, demonstrating adaptable problem-solving skills for AI-driven solutions.