Audio labeling
Proper audio speech recognition text was validated for accurary and labels used to set apart valid or invalid segments and identify individual speakers
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With over 13 years of experience in Progress OpenEdge development, coupled with my current focus on expanding my skill set in data analytics, generative AI, and front-end development, I bring a unique perspective that bridges legacy systems with cutting-edge technologies—a combination I believe aligns well with the innovative work being done at your company. In my recent internship at Refonte Technologies, I am gaining hands-on experience in data analysis, visualization, and reporting using tools like Python, TensorFlow, PyTorch, and Jupyter Notebooks. This exposure has deepened my understanding of how high-quality annotated data serves as the foundation for training robust machine learning models. Additionally, my background in software development and database management equips me with a meticulous eye for detail, ensuring accuracy and consistency in annotation tasks—qualities essential for delivering reliable datasets. While my career has been rooted in developing and maintaining complex database applications, I have consistently demonstrated the ability to adapt to new challenges and technologies.
Proper audio speech recognition text was validated for accurary and labels used to set apart valid or invalid segments and identify individual speakers
Master in Security Science, Computer Science
Bachelor in Information Systems, Computer Science
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