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I am a Machine Learning Engineer with over 2 years of experience designing and deploying end-to-end AI systems in production environments. I have a proven track record of improving model performance using TensorFlow and PyTorch, and streamlining data workflows for faster, more efficient processing. Skilled in building scalable APIs using FastAPI and Docker, and implementing MLOps practices with MLflow for repeatable deployments. I hold an MS in Computer Systems Engineering and specialize in creating practical, maintainable AI solutions. With a strong foundation in healthcare-relevant AI techniques, I'm passionate about clinical applications such as predictive analytics and patient risk scoring. I'm committed to continuous learning and contributing to innovative projects that advance AI technology and its real-world impact.…I am a Machine Learning Engineer with over 2 years of experience designing and deploying end-to-end AI systems in production environments. I have a proven track record of improving model performance using TensorFlow and PyTorch, and streamlining data workflows for faster, more efficient processing. Skilled in building scalable APIs using FastAPI and Docker, and implementing MLOps practices with MLflow for repeatable deployments. I hold an MS in Computer Systems Engineering and specialize in creating practical, maintainable AI solutions. With a strong foundation in healthcare-relevant AI techniques, I'm passionate about clinical applications such as predictive analytics and patient risk scoring. I'm committed to continuous learning and contributing to innovative projects that advance AI technology and its real-world impact.

Abdul Basit

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I am a Machine Learning Engineer with over 2 years of experience designing and deploying end-to-end AI systems in production environments. I have a proven track record of improving model performance using TensorFlow and PyTorch, and streamlining data workflows for faster, more efficient processing. Skilled in building scalable APIs using FastAPI and Docker, and implementing MLOps practices with MLflow for repeatable deployments. I hold an MS in Computer Systems Engineering and specialize in creating practical, maintainable AI solutions. With a strong foundation in healthcare-relevant AI techniques, I'm passionate about clinical applications such as predictive analytics and patient risk scoring. I'm committed to continuous learning and contributing to innovative projects that advance AI technology and its real-world impact.…I am a Machine Learning Engineer with over 2 years of experience designing and deploying end-to-end AI systems in production environments. I have a proven track record of improving model performance using TensorFlow and PyTorch, and streamlining data workflows for faster, more efficient processing. Skilled in building scalable APIs using FastAPI and Docker, and implementing MLOps practices with MLflow for repeatable deployments. I hold an MS in Computer Systems Engineering and specialize in creating practical, maintainable AI solutions. With a strong foundation in healthcare-relevant AI techniques, I'm passionate about clinical applications such as predictive analytics and patient risk scoring. I'm committed to continuous learning and contributing to innovative projects that advance AI technology and its real-world impact.

Available to hire

I am a Machine Learning Engineer with over 2 years of experience designing and deploying end-to-end AI systems in production environments. I have a proven track record of improving model performance using TensorFlow and PyTorch, and streamlining data workflows for faster, more efficient processing. Skilled in building scalable APIs using FastAPI and Docker, and implementing MLOps practices with MLflow for repeatable deployments.

I hold an MS in Computer Systems Engineering and specialize in creating practical, maintainable AI solutions. With a strong foundation in healthcare-relevant AI techniques, I’m passionate about clinical applications such as predictive analytics and patient risk scoring. I’m committed to continuous learning and contributing to innovative projects that advance AI technology and its real-world impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Language

Urdu

Advanced

English

Advanced

Work Experience

Machine Learning Engineer at Welltime Ltd

September 1, 2023 - Present

Optimized TensorFlow/PyTorch neural networks via architectural refinements and parameter tuning, achieving 25% faster inference. Built scalable data pipelines leveraging Pandas and NumPy for efficient feature engineering and preprocessing, reducing data processing time by 40%. Developed and containerized ML microservices using Docker, with REST API endpoints via FastAPI, enabling seamless integration with enterprise systems. Improved model accuracy by 15% through collaborative development with data scientists, implementing rigorous cross-validation using Scikit-learn. Optimized model inference speed by 30% through quantization techniques and efficient batching in PyTorch. Researched and implemented cutting-edge techniques including XGBoost ensembles and neural architecture search to solve complex business problems. Enhanced recommendation systems using advanced feature engineering, boosting user engagement metrics by 15%. Rolled out predictive analytics models on AWS infrastructure, re