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Labelbox
LabelImg
CVAT
Scale AI
Prodigy
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Text
Video
Transcription
RLHF
Classification
Entity (NER) Classification
Segmentation
Evaluation/Rating
Computer Programming/Coding
Red Teaming
Question Answering
Bounding Box
Object Detection
Polygon
Point/Key Point
Text Summarization
Fine-tuningAs a Master of Science student at USC with a background in Computer Science and Algorithms, I bring a highly analytical and quality-driven approach to AI training data. With 3+ years of experience across professional workflows and research, I specialize in high-precision data labeling, particularly in Multimodal AI and OCR workflows. My expertise extends beyond simple annotation to include RLHF (Reinforcement Learning from Human Feedback), where I evaluate model responses for accuracy, safety, and logical consistency. Having served as an Algorithm Intern, I am adept at handling complex edge cases and maintaining high throughput without compromising data integrity. My technical background allows me to quickly master intricate labeling guidelines and contribute to the development of robust datasets for computer vision and natural language processing projects. I am committed to delivering "gold-standard" data that directly enhances model performance.
TextRLHFPerformed high-complexity RLHF tasks focusing on Python and Java code generation. Tasked with evaluating model outputs for syntactic correctness, algorithmic efficiency, and security vulnerabilities. I provided detailed justifications for rankings and rewrote suboptimal code snippets to serve as "gold-standard" training data.
ImageTranscriptionAs an Algorithm Intern, I focused on automating the digitization of handwritten records to enhance data management efficiency. I developed and optimized OCR frameworks and processes to ensure precise extraction and improve workflow performance. My work required strong technical knowledge of computer vision, OCR, and data processing algorithms. • Automated the conversion of handwritten agricultural data records into electronic Excel formats. • Developed a table recognition framework and improved OCR accuracy for field extraction. • Implemented the Hough Transform algorithm to address diagonal line noise while preserving table integrity. • Enhanced table recognition accuracy by optimizing processing of lines and text within document images.
Master of Science, Management Science
Bachelor of Science, Computer Engineering
Algorithm Intern
Quality Assurance Engineer
