Key Skills

Freelancer Overview

I am passionate about building high-quality AI systems and have hands-on experience in data labeling, annotation, and end-to-end machine learning workflows. My background includes working with diverse data types such as images, speech, geospatial, and physiological signals, where I handled tasks like data collection, cleaning, preprocessing, and feature engineering to prepare robust training datasets. I have engineered and deployed models for computer vision, NLP, and speech-to-text applications using Python, PyTorch, TensorFlow, and Scikit-learn, ensuring accuracy and reproducibility through careful validation and workflow automation. My projects, such as multimodal anomaly detection and real-time ASR systems, have given me a strong understanding of the importance of high-quality annotated data in driving model performance. I am skilled in using tools like Colab, AWS, and Streamlit, and am committed to delivering reliable, scalable solutions for real-world AI challenges.

Labeling Experience

Education

Work History