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M

Megha Rao

Research Study Synthesis & Quality Evaluation – Cubyts

India flagBangalore, India
Entry Level

Key Skills

Software

No software listed

Top Subject Matter

Product Design Content
UX Research
Structured Reports

Top Data Types

TextText
DocumentDocument

Top Task Types

No task types listed

Freelancer Overview

Research Study Synthesis & Quality Evaluation – Cubyts. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and N. Education includes Bachelor of Science, Bharathiar University (2018) and Diploma, NICC, Bangalore (2019). AI-training focus includes data types such as Text and Document and labeling workflows including Evaluation and Rating.

Entry Level

Labeling Experience

Research Study Synthesis & Quality Evaluation – Cubyts

Text
Conducted mixed-method research studies and synthesized findings into structured evaluative reports, directly comparable to AI-generated output evaluation. Developed training materials and evaluation rubrics to assess and improve quality, mirroring judgment processes in data labeling. Regularly reviewed and documented workflow outcomes for clarity, accuracy, and completeness akin to AI training set curation. • Synthesized structured research findings as evaluative data. • Created rubrics to standardize data/output review. • Focused on pattern detection and ambiguity resolution, key in rating tasks. • Improved content quality through documentation and structured evaluation.

Conducted mixed-method research studies and synthesized findings into structured evaluative reports, directly comparable to AI-generated output evaluation. Developed training materials and evaluation rubrics to assess and improve quality, mirroring judgment processes in data labeling. Regularly reviewed and documented workflow outcomes for clarity, accuracy, and completeness akin to AI training set curation. • Synthesized structured research findings as evaluative data. • Created rubrics to standardize data/output review. • Focused on pattern detection and ambiguity resolution, key in rating tasks. • Improved content quality through documentation and structured evaluation.

2021 - 2023

Content Evaluation & Structured Research Reporting – SAP via Agency / PeepalDesign

Document
Evaluated complex technical documentation and digital content for clarity, discoverability, and accuracy in the context of redesign and research for enterprise clients. Delivered structured reports and formal content evaluations, aligning with text annotation and content rating tasks typical in AI training. Focused on evidence-based analysis and consistent written critique for content improvement. • Formal evaluation of developer content and documentation. • Delivered structured feedback for technical documents. • Utilized pattern recognition and evidence-based review processes. • Applied rating logic similar to data labeling in LLM training datasets.

Evaluated complex technical documentation and digital content for clarity, discoverability, and accuracy in the context of redesign and research for enterprise clients. Delivered structured reports and formal content evaluations, aligning with text annotation and content rating tasks typical in AI training. Focused on evidence-based analysis and consistent written critique for content improvement. • Formal evaluation of developer content and documentation. • Delivered structured feedback for technical documents. • Utilized pattern recognition and evidence-based review processes. • Applied rating logic similar to data labeling in LLM training datasets.

2020 - 2021

Education

N

NICC, Bangalore

Diploma, User Interface and User Experience Design

Diploma
2015 - 2019
B

Bharathiar University

Bachelor of Science, Visual Communication

Bachelor of Science
2015 - 2018

Work History

L

Legion Technologies

Senior Product Designer

Bangalore
2023 - Present
H

Hotelzify

Design Consultant

Bangalore
2023 - 2023