Admin E.

Key Skills

Software

Other

Top Subject Matter

CAT/IPMAT mathematics assessment design and question authoring

AI reasoning evaluation and adversarial dataset refinement

Scholarship mathematics assessment design and reasoning question authoring

Top Data Types

Text

Top Task Types

Question Answering

Red Teaming

Freelancer Overview

Quantitative Content Specialist | XEP (Xceed Entrance Prep). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Professional LaTeX. Education includes Bachelor of Technology, National Institute of Technology (NIT) Srinagar (2028). AI-training focus includes data types such as Text and labeling workflows including Question Answering and Red Teaming.

Labeling Experience

Quantitative Content Specialist | XEP (Xceed Entrance Prep)

OtherTextQuestion Answering

Created a multi-tier difficulty framework and question repository for CAT and IPMAT, including difficulty classification and metadata tagging. Authored exam-simulated question sets to mirror adaptive testing logic and real exam-time pressure scenarios. Focused on error-driven and shortcut-aligned pedagogical design to improve student reasoning under time constraints. • Built and maintained a 15,000+ problem bank with multi-level difficulty modeling. • Designed question sets aligned to adaptive testing algorithms and scoring intent. • Developed shortcut-driven manuals emphasizing pattern recognition to boost solving speed. • Produced structured assessment content intended for downstream tutoring and evaluation workflows.

2025 - Present

Assessment Designer (International) | Schoolola Tutoring

TextQuestion Answering

Authored specialized reasoning question sets for NSW, OC, and HAST scholarship frameworks. Produced LaTeX-formatted academic modules intended for professional print distribution with high accuracy. Adapted complex mathematical logic to age-specific cognitive levels to maintain engagement while preserving solution rigor. • Wrote 200+ specialized reasoning sets mapped to scholarship framework requirements. • Ensured 98%+ accuracy for LaTeX-formatted academic deliverables. • Adjusted reasoning complexity to match student age-related cognition. • Prepared assessment materials suitable for tutoring and evaluation use.

2025 - 2026

SME – AI Reasoning | TechEduvisor

OtherTextRed Teaming

Engineered adversarial edge-case problems to stress-test and refine LLM reasoning depth. Performed systematic error identification on AI-generated solution datasets to reduce logical inconsistencies. Used accuracy-focused QA of reasoning outputs to improve the reliability of model responses. • Generated 300 adversarial edge-case prompts and problems for LLM evaluation. • Audited solution logic to identify systemic errors in training/evaluation datasets. • Targeted higher reasoning depth by probing model failure modes. • Achieved 95% accuracy in reducing inconsistencies in AI-generated solutions.

2025 - 2025

Education

Work History