Experienced Data Scientist and Machine Learning Engineer with a Ph.D. in Machine Learning & Computer Vision. Over 7 years of expertise in designing, developing, and deploying advanced AI/ML solutions, including large lan…
Experienced Data Scientist and Machine Learning Engineer with a Ph.D. in Machine Learning & Computer Vision. Over 7 years of expertise in designing, developing, and deploying advanced AI/ML solutions, including large language models, generative AI, and predictive analytics. Proficient in Python, TensorFlow, and PyTorch, with a strong background in cloud platforms such as AWS, GCP, and Azure. Skilled in building scalable ML pipelines, conducting data preprocessing, and fine-tuning transformer-based architectures like BERT and SBERT. Known for delivering impactful results in dynamic, cross-functional environments and contributing to measurable business outcomes. Passionate about leveraging data science and AI to solve complex problems and drive innovation.
Streamlined computing infrastructure to support distributed AI model training and deployment using Compute Canada resources., Collaborated with academia and industry to translate research innovations into production-ready applications.
Developed adaptive AI frameworks for complex workflows, integrating multi-modal data processing with predictive analytics.
Designed modular architectures enabling seamless integration of automation and real-time coordination.
Published innovative methodologies for OCR, document recognition, and semantic parsing in high-stakes environments.
Streamlined computing infrastructure to support distributed AI model training and deployment using Compute Canada resources.
Collaborated with academia and industry to translate research innovations into production-ready applications.
Developed adaptive AI frameworks for complex workflows, integrating multi-modal data processing with predictive analytics., Designed modular architectures enabling seamless integration of automation and real-time coordination., Published innovative methodologies for OCR, document recognition, and semantic parsing in high-stakes environments.
Applied ML algorithms for predictive models in water distribution and resource management., Utilized anomaly detection techniques for real-time water quality monitoring., Developed automated reporting tools using supervised learning models.
Applied ML algorithms for predictive models in water distribution and resource management.
Utilized anomaly detection techniques for real-time water quality monitoring.
Developed automated reporting tools using supervised learning models.
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