Pradeep Kumar Rai

• Performed high-accuracy data labeling, annotation, and validation for computer vision and LLM-based workflows.
• Ensured dataset quality, consistency, and correctness across large-scale AI training pipelines.
• Labeled complex visual, textual, and multi-modal datasets used to train next-generation automation and robotics models.
• Applied strong analytical judgment to detect errors, refine outputs, and improve model reliability and safety.
• Collaborated in remote workflows to meet daily/weekly productivity targets while maintaining >98% accuracy.
• Contributed to improving LLM reasoning tasks by providing high-quality human feedback.

• Evaluated AI-generated outputs for accuracy, reasoning, tone, linguistic consistency.
• Improved performance in translation, summarization, and instruction-following tasks.
• Made appropriate file information updates and system upgrades.
• Processed and scanned files into electronic databases.

• Created prompts and evaluated AI outputs for multilingual systems (+25% accuracy improvement).
• Worked across NLP, sentiment analysis, education, healthcare datasets.

• Developed UI components using React.js + Tailwind.
• Improved UX with performance optimization and accessibility.
• Attended development team trainings, daily meetings, and huddles.
• Wrote clear, clean code for various projects.
• Enhanced UI/UX elements to create visually appealing interfaces that improve user interactions with the software product.

• Enhanced AI model accuracy using prompt engineering and improved workflows.
• Built LLM-based solutions, increasing response quality by 40%.
• Developed scalable and maintainable code, ensuring long-term stability of the software.
• Integrated new technologies into existing systems, increasing capabilities and improving overall performance.

GPA: 7.10

GPA: 7.03