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Freelancer Overview
I am a Computer Science Engineering graduate specializing in Artificial Intelligence and Machine Learning (AIML) with practical project experience in data operations, dataset curation, and precise ground-truth annotation. Proficient in Python, Pandas, and natural language processing (NLP) frameworks, I have built standalone data preparation utilities, including a custom Named Entity Recognition application using spaCy to tag text boundaries and a data-filtering engine to clean and balance image metadata classes. My technical academic foundation ensures a deep understanding of data quality, tokenization integrity, and classification structures required to train robust machine learning architectures. Beyond project development, I possess hands-on data verification and quality review experience from engineering internships. Working within structured systems, I have audited large data logs to isolate entry anomalies, verified parameters against rigorous compliance rules, and maintained meticulous documentation for cross-functional teams. I bring strong pattern recognition capabilities, exceptional attention to detail, and a process-driven approach to data labeling, making me highly capable of delivering high-quality, reliable training data inputs.