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Scale AI
Telus
Labelbox
Text
Image
Document
RLHF
Bounding Box
Polygon
Classification
Text Generation
Question Answering
Fine-tuning
Transcription
Evaluation/RatingRLHF Consultant (AI Model Training) at Outlier, Scale AI (Part time Contract) and Mercor (Part-time Contract). Brings 14+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Education includes Bachelor of Science, Bangladesh University of Professionals (2014). AI-training focus includes data types such as Text and labeling workflows including RLHF.
DocumentEvaluation/RatingEvaluate and compare multiple powerpoint presentation, excel spreadsheet, word document, PDF generated for a prompt and given data by multimodal LLM on multiple aspects, starting from aesthetics, completeness, factual content and overall look & feel.
VideoRLHFServed as an RLHF consultant and senior reviewer, evaluating multimodal LLM outputs for reasoning accuracy, safety alignment, and visual-spatial fidelity to support model fine-tuning. Audited complex training datasets for image-to-text and video-reasoning tasks, identifying issues that contribute to hallucinations and degraded response precision. Provided structured feedback to improve next-generation AI/ML integration programs and evaluation quality. • Assessed reasoning accuracy and safety alignment of multimodal LLM responses • Reviewed visual-spatial fidelity for image/video understanding • Audited image-to-text and video-reasoning datasets for label quality issues • Contributed feedback loops to reduce hallucinations and improve precision in edge cases
Scale AIImageRLHFServed as an RLHF consultant and senior reviewer, evaluating multimodal LLM outputs for reasoning accuracy, safety alignment, and visual-spatial fidelity to support model fine-tuning. Audited complex training datasets for image-to-text and video-reasoning tasks, identifying issues that contribute to hallucinations and degraded response precision. Provided structured feedback to improve next-generation AI/ML integration programs and evaluation quality. • Assessed reasoning accuracy and safety alignment of multimodal LLM responses • Reviewed visual-spatial fidelity for image/video understanding • Audited image-to-text and video-reasoning datasets for label quality issues • Contributed feedback loops to reduce hallucinations and improve precision in edge cases
Bachelor of Science, Computer Science and Engineering
Director of Engineering
Engineering Manager
