Data Annotator
Contributed in transcription of regional YouTube content
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I have over four years of experience translating complex technical concepts in AI, IoT, robotics, and electronics into clear, structured, and accessible content for diverse learners. My background includes developing and documenting hands-on projects such as face recognition systems and smart IoT prototypes, which required meticulous data handling, feature extraction, and annotation—skills directly relevant to data labeling and AI training data workflows. I am proficient with Python (including NumPy, pandas, and scikit-learn), MATLAB, and various data analysis tools, and have published research on machine learning-based feature fusion for speaker recognition. My experience collaborating with engineering and product teams, as well as mentoring students on data-driven projects, has honed my ability to ensure high-quality, accurate, and well-documented training data for AI applications.
Contributed in transcription of regional YouTube content
Master of Technology, Electronics and Communication Engineering
Bachelor of Technology, Electronics and Communication Engineering
Assistant Professor
Curriculum Developer And Trainer