I am a Senior AI/ML Engineer with eighty years of hands-on experience in supervised and unsupervised learning, reinforcement learning, and natural language processing. I specialize in delivering advanced AI-driven solutions with in-depth knowledge of deep learning models such as CNNs, RNNs, and LSTMs. I regularly work with frameworks like PyTorch, TensorFlow, and Keras to build scalable models. My skills also include strong command of machine learning techniques like Gradient Boosting, Decision Trees, Support Vector Machines, K-Nearest Neighbors, and clustering algorithms such as K-Means. I am proficient in programming languages including Python, R, SQL, and Java, and have extensive experience in data preparation, visualization, feature extraction, and model performance evaluation. Additionally, I bring expertise in cloud platforms and container technologies with a focus on sustainable AI practices and production-ready infrastructure for large language model deployment.

Mahmood A.

I am a Senior AI/ML Engineer with eighty years of hands-on experience in supervised and unsupervised learning, reinforcement learning, and natural language processing. I specialize in delivering advanced AI-driven solutions with in-depth knowledge of deep learning models such as CNNs, RNNs, and LSTMs. I regularly work with frameworks like PyTorch, TensorFlow, and Keras to build scalable models. My skills also include strong command of machine learning techniques like Gradient Boosting, Decision Trees, Support Vector Machines, K-Nearest Neighbors, and clustering algorithms such as K-Means. I am proficient in programming languages including Python, R, SQL, and Java, and have extensive experience in data preparation, visualization, feature extraction, and model performance evaluation. Additionally, I bring expertise in cloud platforms and container technologies with a focus on sustainable AI practices and production-ready infrastructure for large language model deployment.

Available to hire

I am a Senior AI/ML Engineer with eighty years of hands-on experience in supervised and unsupervised learning, reinforcement learning, and natural language processing. I specialize in delivering advanced AI-driven solutions with in-depth knowledge of deep learning models such as CNNs, RNNs, and LSTMs. I regularly work with frameworks like PyTorch, TensorFlow, and Keras to build scalable models.

My skills also include strong command of machine learning techniques like Gradient Boosting, Decision Trees, Support Vector Machines, K-Nearest Neighbors, and clustering algorithms such as K-Means. I am proficient in programming languages including Python, R, SQL, and Java, and have extensive experience in data preparation, visualization, feature extraction, and model performance evaluation. Additionally, I bring expertise in cloud platforms and container technologies with a focus on sustainable AI practices and production-ready infrastructure for large language model deployment.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
See more

Work Experience

AI/ML Consultant at Bahji Consultant
December 31, 2022 - August 6, 2025
Spearheaded the design and implementation of advanced machine learning models including Random Forests, Gradient Boosting, Logistic Regression, and Decision Trees to enhance university admissions processes, forecast student performance, and improve retention through early intervention analytics. Utilized NLP to analyze academic publications, informing strategic faculty recruitment and fostering cross-disciplinary research collaboration within higher education institutions. Developed personalized learning solutions by integrating adaptive ML models tailored to individual student learning behaviors, significantly boosting academic engagement and outcomes. Implemented data-driven decision-making systems across departments employing Tableau and Power BI to provide actionable insights to academic and administrative stakeholders. Designed and deployed AI-driven calling agents and domain-specific agentic models to streamline institutional workflows and automate complex tasks. Developed hybrid
Self-Employed
January 1, 2022 - Present
Led the development and implementation of advanced machine learning solutions including Random Forests, Gradient Boosting, Logistic Regression, and Decision Trees to support higher education institutions in optimizing admissions processes, forecasting academic performance, and increasing student retention. Applied NLP methodologies to extract actionable insights from academic publications, enabling data-driven faculty recruitment and interdisciplinary research collaboration. Created personalized learning pathways using adaptive ML models tailored to individual learning preferences, improving student engagement and academic outcomes. Built data-driven decision-making systems across university departments leveraging tools like Tableau and Power BI to provide clear, actionable insights to non-technical stakeholders. Designed and deployed intelligent calling agents and agentic AI models for domain-specific tasks to streamline operations and automate complex workflows. Innovated hybrid AI a
AI/ML Engineer at Expert System Solutions
December 31, 2019 - August 6, 2025
Led development and deployment of advanced machine learning solutions including Random Forests, Gradient Boosting, Logistic Regression, and Decision Trees to enhance university admission strategies, predict academic performance, and improve student retention through early intervention systems. Applied natural language processing techniques to analyze academic literature, supporting data-driven faculty recruitment and fostering collaboration across research departments. Built adaptive learning models that tailored educational content to individual student learning styles, resulting in measurable improvements in engagement and outcomes. Enabled data-driven decision-making across academic and administrative units by building interactive dashboards with Tableau and Power BI to deliver real-time, actionable insights. Designed and implemented intelligent AI calling agents and agentic models for education-specific workflows, streamlining operations and improving communication efficiency. Pion

Education

Bachelor in Computer Sciences at COMSATS
January 11, 2030 - August 6, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Education, Software & Internet, Professional Services, Computers & Electronics, Transportation & Logistics