Sanjid Ahmed Sany

Evaluated AI-generated outputs and language data against detailed project guidelines, focusing on accuracy, relevance, clarity, consistency, and instruction-following. Identified hallucinations and formatting issues and provided structured feedback to support model training quality.

Annotated, reviewed, and validated data for machine learning and AI training workflows. Performed labeling and quality checks for accuracy, consistency, missing details, and guideline compliance to protect final dataset reliability.

Supported AI training and language data work including transcription and annotation-related review. Validated task outputs for completeness, formatting, and consistency while flagging unclear content and dataset reliability issues.

Contributed to AI training and language data projects through text and language output evaluation. Reviewed prompts, responses, and task outputs for clarity, meaning, naturalness, and adherence to quality guidelines, flagging ambiguity and formatting issues.

Completed AI training and linguistic annotation-related tasks including translation review and data validation. Reviewed multilingual outputs for grammar, clarity, consistency, accuracy, and guideline alignment to meet project formatting and quality requirements.

Worked on AI training tasks including transcript editing, data evaluation, and prompt review focused on language quality. Reviewed AI-related content and transcript outputs for accuracy, clarity, formatting, and consistency, and supported dataset improvement via structured evaluation.

Published short stories and articles. Focused on storytelling, creativity, and audience engagement across genres.

Published creative articles, short stories, and blogs. Built and managed a personal subscriber base and brand presence.

Evaluated AI-generated content, language data, and search relevance results to improve quality and guideline adherence. Assessed outputs for relevance, correctness, user-intent alignment, and instruction-following using detailed evaluation criteria.

Authored technical blog articles on electrical engineering and technology topics. Researched and distilled complex concepts into accessible content.

Designed and delivered electrical simulation models using MATLAB and ETAP. Created detailed reports to address client requirements.

Grade: 3.44/4.00

Studied Electrical & Electronics Engineering, gaining hands-on expertise in MATLAB, SCADA, ETAP, and PLC systems. Developed strong analytical abilities, effective communication, and time-management skills.

Grade: 3.75/5.00

Completed Higher Secondary Certificate in Science, focusing on core scientific principles. Gained foundational knowledge in various scientific disciplines.

Grade: 4.68/5.00

Achieved Secondary School Certificate in Science, building foundational knowledge in key scientific subjects. Developed strong academic skills during this period.