AI Trainer
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I am an experienced data scientist and machine learning engineer with over 2 years of hands-on work building and optimizing AI solutions that rely on high-quality labeled data. My expertise spans designing and deploying NLP and computer vision models, including fine-tuning RoBERTa for sentiment annotation, automating KYC verification with OCR, and developing vision-language models for visual question answering. I have engineered scalable data pipelines for audio, text, and tabular data, ensuring robust data preprocessing, annotation, and integration for downstream analytics and model training. My technical toolkit includes Python, PyTorch, SQL, Airflow, Langchain, FAISS, Redis, and AWS, and I am passionate about applying research-driven methods to real-world problems in domains such as marketing, fintech, property leasing, and audio content. I thrive in agile teams and am committed to building reliable, accurate, and scalable training data systems that power advanced AI applications.
Evaluated AI prompt-response texts
Master of Science, Artificial Intelligence
MicroMasters, Statistics and Data Science
Data Scientist
Audio Engineer (Data)