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Telus
Video
Text
Document
Bounding Box
Classification
RLHF
Transcription
Evaluation/Rating
Computer Programming/Coding
Object DetectionHands-on experience in AI training data and evaluation, where I’ve worked extensively on assessing and improving the quality of AI generated outputs across multiple modalities, including text, images, audio, video, and code. I have compared and evaluated AI generated responses against structured criteria such as instruction following, correctness, helpfulness, quality, and naturalness, enabling me to develop a strong eye for detail and consistency. My work has also involved precise audio transcription, capturing nuances like pauses, emphasis, and speech patterns, as well as annotating visual data using techniques like bounding boxes to isolate and generate individual elements from complex images. Education includes Master of Science, Manchester Metropolitan University (2023) and Bachelor of Engineering, Anglia Ruskin University (2018).
Compared two AI generated videos based on a prompt to determine which is better based on different criteria like instruction following, correctness, helpfulness, quality, style, naturalness, etc.
Used bounding boxes to separate individuals from a group image and creatively prompted the AI to generate images of each individual separately.
Checked two AI generated code responses for a prompt to determine which is better based on different criteria like instruction following, correctness, helpfulness, quality, style, etc.
Compared two AI generated images based on a prompt to determine which is better based on different criteria like instruction following, correctness, helpfulness, quality, style, ai-ness, etc.
Transcribe audio, including pauses, emphasized words, stammers, and any other related addition in a conversation
Master of Science, Computer Science
Bachelor of Engineering, Mechanical Engineering
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