ameer Hamza

Working with Mindrift team to train, test and evaluate AI models. Applied Natural Language Understanding (NLU) and prompt engineering techniques.

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Worked as a Research Assistant, specializing in Computational Linguistics and Corpus Linguistics. My work involved corpus development, linguistic annotation, text processing, and automated analysis using corpus tools.

Contributed to the development of the AI Voice Assistant by creating training and testing data, evaluating AI responses, and performing data annotation and labeling. Responsibilities also included OCR annotation, transcription, normalization, and ASR annotation for Urdu and Pakistani-context English.

Summarized key responsibilities and accomplishments as a Paralegal. Utilized specific job description language for concise reporting.

Summarized key responsibilities and accomplishments as a Paralegal. Focused on aligning with job description requirements and concise reporting.

Activities and societies: Collaborated with teammates from China, Russia, Nigeria, and Indonesia to ensure high-quality linguistic data for AI model improvement with AI-Driven Linguistics Approaches.

Contributed to the development of an AI Voice Assistant by creating training and testing data, evaluating AI responses, and performing data annotation and labeling. Responsibilities also included OCR annotation, transcription, normalization, and ASR annotation for Urdu and Pakistani-context English.

Conducted a research project on Multidimensional Analysis of English and Shahmukhi Punjabi Corpora, focusing on a corpus-driven comparative study. Worked on and derived 102 grammatical features of Punjabi to complete the model and wrote multiple grammatical rules in the Punjabi Language.

Studied English Literature and Linguistics. This period included foundational coursework relevant to later work in AI linguistics and data specialization.