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VideoI am a machine learning engineer and researcher with hands-on experience in data labeling, annotation, and AI training data pipelines, particularly in the domains of natural language processing and speech technologies. I have developed and deployed end-to-end solutions that involve scraping, cleaning, and manually labeling large datasets, such as news articles and multilingual speech data, using Python, PyTorch, and LLM-assisted tools. My work includes fine-tuning models for information retrieval, building OCR-based document extraction systems, and training custom NER models for entity recognition. I am skilled in leveraging transformer architectures for both text and audio processing, and have contributed to projects that require meticulous data preparation and annotation to improve model performance, especially for low-resource languages. I am passionate about creating high-quality, diverse training data to power robust AI systems.
I annotate and analyzed generated code by large language models for accuracy, errors and efficiency
Bachelor of Engineering, Electrical and Electronics Engineering
Machine Learning Engineer
Engineering Intern
