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AudioI am an experienced data annotation and AI training data specialist with a strong background in transcribing, annotating, and quality auditing across both image and audio datasets. My work spans projects involving speech recognition, image quality assurance, and named entity recognition (NER), where I have consistently maintained high accuracy and contributed to measurable improvements in data quality. I am skilled in using Excel, SQL, Tableau, and Python for data analysis and visualization, and have hands-on experience with prompt engineering for large language models. My ability to lead teams, mentor interns, and collaborate effectively ensures that projects are delivered on time and to a high standard. Fluent in both English and Hindi, I am committed to enhancing data-driven AI solutions through precise labeling and rigorous quality control.
In this project I am tasked with segmenting the interaction between smart assistance and humans to train speech recognition in a better way.
In this project, I am tasked with accurately transcribing audios in Hindi and Indian English, based on language task availability. The audios are predominantly news bulletins on Youtube and episodes of KBC (the TV show).
In this project, I was tasked with identifying the emotion of the speaker in short audio files. I also had to identify any other sound present besides the primary speaker.
In this project, I watched short video clips and accurately identified the camera movement type based on the official Camera Motion Guide.
The project evaluates the quality of AI-generated images used for advertisements for products on different channels. The goal is to filter out poor-quality images so that no defects go unnoticed into the system and to select only high-quality images to improve the model's accuracy in representing the products better.
Bachelor of Engineering, Civil Engineering
Diploma, Civil Engineering
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