Sai K.

Key Skills

Software

Google Cloud Vertex AI

AWS SageMaker

V7 Labs

Top Subject Matter

Educational evaluation and academic content QA

Technical education content creation and quality assurance

Top Data Types

Document

Text

Video

Top Task Types

Text Generation

Freelancer Overview

Founder / Principal Operator, Neoboard (2026 - Present). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Business Administration, Indira Gandhi National Open University (IGNOU) (2028). AI-training focus includes data types such as Document and Text and labeling workflows including Evaluation, Rating, and Text Generation.

Labeling Experience

Content Producer / Educational Developer, Educational Content Channel (2025 - Present)

Don't discloseTextText Generation

Developed and QA’d technical educational content created via automated or scripted generation processes. Conducted rigorous fact-checking and quality assurance to ensure outputs met correctness requirements and avoided hallucinations. Managed the full content lifecycle from input/data scripting through editorial review while maintaining strong quality and engagement. • Translated complex technical concepts into clear educational text. • Performed quality checks and fact verification for generated content. • Ensured hallucination-free outputs through validation steps. • Coordinated production workflow from data input to final review.

2025 - Present

Founder / Principal Operator, Neoboard (2026 - Present)

Don't discloseDocument

Built an automated evaluation engine to assess educational outputs against institutional academic standards. Performed prompt engineering and iterative quality checks to ensure the generated results were accurate, relevant, and non-hallucinatory. Worked with datasets and user feedback to refine evaluation criteria and improve alignment with target requirements. • Designed evaluation workflows for school district use cases. • Defined prompt and response acceptance criteria for quality. • Reviewed and validated automated evaluation outputs. • Used feedback loops to improve product behavior over time.

2025 - Present

Education

Work History