Open to opportunities

sai krishna

@saikrishna6

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AI Data Trainer specializing in LLM optimization and quality assurance.

Zimbabwe

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What I'm looking for

I seek a role that fosters innovation in AI, offers growth opportunities, and values quality.

I am an AI Data Trainer and Annotator with over 2 years of experience specializing in LLM optimization through prompt writing, Reinforcement Learning from Human Feedback (RLHF), and Supervised Fine-Tuning (SFT). My expertise lies in comprehensive data annotation, quality assurance, and process improvement, which has consistently contributed to enhanced AI model performance while ensuring strict adherence to SLA standards.

Currently, I work at Amazon as an ML Data Annotator, where I have successfully trained and enhanced Large Language Models (LLMs) by accurately annotating over 10,000 datasets across various modalities. My role involves collaborating with data scientists and machine learning engineers to optimize model performance, and I take pride in maintaining a 99% accuracy rate in my work. Additionally, I mentor junior evaluators, sharing my knowledge of accurate annotation practices and quality control.

My commitment to excellence has been recognized through multiple awards, including the Perfectionist Awards for consistently delivering high-quality work. I am passionate about AI and dedicated to delivering exceptional results that drive innovation and efficiency in the field.

Experience

Work history, roles, and key accomplishments

Quality Auditor

Amazon

Apr 2025 - Present (3 months)

Conducted super-verification of large labeled datasets, ensuring 98% compliance with client specifications and SLA standards. Performed daily audits and spot checks of annotator outputs, identifying pattern errors and reducing annotation inconsistencies by 30%, and prepared detailed QA reports for cross-functional teams.

Quality Control Audit SLA Reporting Spot Checking Data Analysis Process Improvement

ML Data Annotator (Gen AI/LLM)

Amazon

May 2023 - Present (2 years 2 months)

Trained and enhanced Large Language Models (LLMs) for diverse applications by accurately annotating and labeling over 10,000 multimodal and multilingual datasets, maintaining 99% accuracy. Leveraged prompt writing, Reinforcement Learning from Human Feedback (RLHF), and Supervised Fine-Tuning (SFT) to optimize model performance and alignment, collaborating with data scientists to enhance model accu

LLM Reinforcement Learning Data Annotation Multimodal Datasets Quality Assurance AI Training Data Curation

Education

Degrees, certifications, and relevant coursework

Osmania University

Bachelor of Commerce, Computer Applications

Completed a Bachelor of Commerce with a specialization in Computer Applications. Gained foundational knowledge in both business principles and computer applications.