Annotation & Multimodal Knowledge
Knowledge of bounding-box annotation, object tracking, action recognition, annotation consistency, and inter-annotator agreement; no completed production labeling engagement was specified.
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Human Data & AI Training Workflow — Independent Case Study. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes B. Tech, Shambhunath Institute of Engineering and Technology, Prayagraj (2026) and Diploma, Hewett Polytechnic, Lucknow (2021). AI-training focus includes data types such as Text and Image and labeling workflows including Classification, Evaluation, and Rating.
Knowledge of bounding-box annotation, object tracking, action recognition, annotation consistency, and inter-annotator agreement; no completed production labeling engagement was specified.
Rubric-based AI response evaluation, output comparison, factual and logical issue identification, ambiguity documentation, and evidence-based quality review.
Human-data and AI-training workflow design, including contributor onboarding, calibration, quality assurance, disagreement review, feedback, and escalation checkpoints.
B. Tech, Computer Science & Engineering
Diploma, Mechanical Engineering
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