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VideoWith a strong background in DevOps and software engineering, I bring hands-on experience in building and automating data pipelines and deploying machine learning solutions across cloud platforms like AWS, Azure, and GCP. My expertise covers the full data lifecycle, including data preparation, annotation, and quality monitoring, using tools such as Python, Pandas, Numpy, TensorFlow, and Scikit-learn. I have contributed to fraud detection and prevention models, integrating data science workflows into CI/CD pipelines, and have worked with Apache Superset to visualize and analyze datasets for actionable insights. My experience collaborating with cross-functional teams and managing secure, scalable infrastructures enables me to support robust AI training data operations, ensuring data accuracy, consistency, and efficiency in high-impact domains.
the project is to search for a an identifiable thing/name/animal etc, and match the appropriate images generated for proper labelling and identification / classification
The project is to work on videos and get similar/opposite actions/emotions for the same amount of time in the the same video clid, crop 2 different clips from one original clip and evaluate the relationship
The project is to get different images, like 4 or more people in image, delete all of them expect one, then recreate a new identity for them besides the initial identity, then map the new identities together.
The scope of the project is to classify animals using classification and label them into train and test to build an accurate model.
Nanodegree Program, Cloud DevOps Engineering
Bachelor of Technology (Honours), Electrical and Electronic Engineering
DevOps Engineer
AI Trainer
