Jeel C.

Key Skills

Software

Other

Top Subject Matter

AI content quality evaluation

search engine evaluation

prompt effectiveness assessment

Top Data Types

Text

Computer Code Programming

Document

Top Task Types

Question Answering

Text Generation

Text Summarization

Prompt + Response Writing (SFT)

Data Collection

Transcription

Freelancer Overview

AI Content Quality & Search Evaluation — Self-Initiated Research (Independent Practice). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Engineering, A.D. Patel Institute of Technology, Anand (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Content Quality & Search Evaluation — Self-Initiated Research (Independent Practice)

OtherText

Conducted systematic evaluation of AI-generated content (ChatGPT, Claude, Gemini) using structured rubrics focused on factual accuracy, relevance, coherence, and bias. Performed SERP and landing-page quality assessments by evaluating query intent alignment, usefulness, and credibility through multi-source verification and fact-checking. Designed and tested prompt variants for technical/analytical tasks, documenting prompt effectiveness and edge-case failures to improve output quality. • Evaluated AI responses against multi-criteria quality rubrics • Validated claims using Boolean search, SERP analysis, and source verification • Assessed query intent alignment and landing page quality • Maintained detailed evaluation logs and written feedback reports

2024 - Present

DevSecOps Pipeline Security & Data Quality Analysis (Personal Project)

OtherText

Performed security and data quality analysis within CI/CD pipeline workflows by interpreting automated vulnerability scan outputs and recording findings. Integrated SonarQube, OWASP Dependency-Check, and Trivy into pipelines to review risk reports analogous to structured AI output/risk annotation. Monitored Prometheus/Grafana dashboards for anomalies and performance deviations and documented incident findings using structured written reports. • Reviewed CI/CD scanner outputs (SonarQube, OWASP Dependency-Check, Trivy) • Used monitoring dashboards to detect anomalies and deviations • Documented deployment workflows and incident findings • Applied rubric-like review discipline to automated report interpretation

2024 - 2024

Education

Work History