AI Trainer
Worked on the emotion identification of employees on a daily bases through audio
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I have hands-on experience in data processing, validation, and annotation, particularly within AI and machine learning projects. My background includes developing Python scripts to automate defect identification and data cleansing at Amazon, leveraging ML models to ensure high-quality, labeled datasets across millions of e-commerce records. I have implemented real-time computer vision solutions using PyTorch and OpenCV, including a drowsiness detection system where I handled data labeling with LabelImg and trained deep learning models for accurate classification. My expertise extends to data extraction, transformation, and visualization using SQL, Oracle, AWS Redshift, and BI tools, ensuring data accuracy and actionable insights for business and AI applications. I am skilled in Python, SQL, Gen AI, Langchain, and cloud platforms, and have a strong track record of delivering reliable, well-annotated datasets for AI-driven solutions.
Worked on the emotion identification of employees on a daily bases through audio
Bachelor of Engineering, Electronics and Communication Engineering
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