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I'm a machine learning engineer with a passion for turning data into practical, scalable solutions. I design, deploy, and optimize ML models using Python, TensorFlow, PyTorch, and cloud-native tools, while leading cross-functional teams to deliver reliable AI systems. I thrive on building robust data pipelines, applying MLOps practices, and collaborating with executives to align AI initiatives with business goals. I'm committed to continuous learning and delivering high-quality, scalable AI solutions.…I'm a machine learning engineer with a passion for turning data into practical, scalable solutions. I design, deploy, and optimize ML models using Python, TensorFlow, PyTorch, and cloud-native tools, while leading cross-functional teams to deliver reliable AI systems. I thrive on building robust data pipelines, applying MLOps practices, and collaborating with executives to align AI initiatives with business goals. I'm committed to continuous learning and delivering high-quality, scalable AI solutions.

Naeem Khan

Data Scientist, AI Engineer, Full Stack Developer, +4

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I'm a machine learning engineer with a passion for turning data into practical, scalable solutions. I design, deploy, and optimize ML models using Python, TensorFlow, PyTorch, and cloud-native tools, while leading cross-functional teams to deliver reliable AI systems. I thrive on building robust data pipelines, applying MLOps practices, and collaborating with executives to align AI initiatives with business goals. I'm committed to continuous learning and delivering high-quality, scalable AI solutions.…I'm a machine learning engineer with a passion for turning data into practical, scalable solutions. I design, deploy, and optimize ML models using Python, TensorFlow, PyTorch, and cloud-native tools, while leading cross-functional teams to deliver reliable AI systems. I thrive on building robust data pipelines, applying MLOps practices, and collaborating with executives to align AI initiatives with business goals. I'm committed to continuous learning and delivering high-quality, scalable AI solutions.

Available to hire

I’m a machine learning engineer with a passion for turning data into practical, scalable solutions. I design, deploy, and optimize ML models using Python, TensorFlow, PyTorch, and cloud-native tools, while leading cross-functional teams to deliver reliable AI systems.

I thrive on building robust data pipelines, applying MLOps practices, and collaborating with executives to align AI initiatives with business goals. I’m committed to continuous learning and delivering high-quality, scalable AI solutions.

Skills

Experience Level

Expert

Expert

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Expert

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Expert

Language

English

Fluent

Work Experience

Machine Learning Engineer at Horizon IT

February 1, 2022 - February 1, 2022

Managed and maintained a portfolio of 5 production ML models, continuously monitoring performance and enhancing accuracy and efficiency. Planned and optimized predictive models for sales forecasting, improving accuracy by 30% and informing quarterly business strategies. Collaborated with data scientists and product managers to translate business requirements into scalable ML solutions, and elevated ML pipelines by reducing training time by 50%. Led code reviews to ensure best practices and high code quality.

Sr. Machine Learning Engineer at AgileNinja

February 1, 2022 - November 11, 2025

Led a team of 8 ML engineers in architecting and deploying a scalable machine learning platform, reducing model processing time across critical business functions. Implemented MLOps practices (Docker, Kubernetes, CI/CD), resulting in a 40% reduction in time-to-production for new models. Designed and implemented a company-wide fraud detection system, decreasing fraudulent transactions by 35%. Mentored 5 junior and mid-level ML engineers and collaborated with C-level executives to align AI initiatives with business objectives.

Machine Learning Engineer at Horizon IT

February 1, 2022 - September 21, 2025

Managed and maintained a portfolio of 5 production ML models, continuously monitoring performance and making adjustments to enhance accuracy and efficiency. Planned and optimized predictive models for sales forecasting, improving accuracy by 30% and informing quarterly business strategies. Team up extensively with data scientists and product managers to translate complex business requirements into scalable ML solutions for new product features. Elevated machine learning pipelines, reducing model training time by 50% and improving data processing efficiency. Led code reviews for junior team members, ensuring adherence to best practices and fostering a culture of high code quality.

Sr. Machine Learning Engineer at AgileNinja

February 1, 2022 - Present

Led a team of 8 ML engineers in architecting and deploying a scalable machine learning platform, reducing model processing time by 50% across critical business functions. Spearheaded the implementation of MLOps practices (Docker, Kubernetes, CI/CD) across the ML lifecycle, resulting in a 40% reduction in time-to-production for new models. Designed and implemented a company-wide fraud detection system, decreasing fraudulent transactions by 35%. Mentored 5 junior and mid-level ML engineers, enhancing team capabilities and fostering a culture of continuous learning and technical excellence. Collaborated with C-level executives to define and align AI initiatives with core business objectives, influencing product roadmap and strategic investments. Actively contributed to and moderated internal AI/ML chat boards, fostering knowledge sharing and community growth.

Software Engineer at Intellirent

November 1, 2019 - November 1, 2019

Collected and preprocessed large datasets (≈500GB) for model training, developing Python scripts to automate data cleaning and transformation. Implemented initial ML models using TensorFlow/PyTorch for features, achieving 85% predictive accuracy on customer churn prediction. Tuned hyperparameters to improve baseline model performance by 15%. Collaborated with a team of 3 software engineers to integrate ML prototypes into product APIs, ensuring data flow and system compatibility.

Software Engineer at Intellirent

November 1, 2019 - September 21, 2025

Collected and preprocessed large datasets (e.g., 500GB of customer interaction data) for model training, writing Python scripts to automate data cleaning and transformation. Deliberate and implemented initial ML models using TensorFlow/PyTorch for specific features, achieving 85% predictive accuracy on customer churn prediction. Conducted experiments to tune hyper parameters, improving baseline model performance by 15% through iterative optimization. Worked with a team of 3 software engineers to integrate ML prototypes into existing product APIs, ensuring data flow and system compatibility. Actively participated in code reviews and knowledge-sharing sessions, staying updated with latest ML research and best practices.