Ayush S.

Key Skills

Software

Don't disclose

Top Subject Matter

Medical education

precision medicine

explainable AI concepts

Top Data Types

Document

Video

Top Task Types

Prompt + Response Writing (SFT)

Text Generation

Text Summarization

Computer Programming/Coding

Question Answering

Fine-tuning

Freelancer Overview

Developer | Interactive Quiz & Study Automation Platform (2026). Core strengths include Don't disclose. Education includes Medical Graduate, Samarkand State Medical University (SSMU) and Bachelor of Science, N/A. AI-training focus includes data types such as Document and labeling workflows including Computer Programming, Coding, and Evaluation.

Labeling Experience

Graduate Research Proposal | Precision Medicine & Technical Integration (2026)

Don't discloseDocument

Prepared a graduate-level Explainable AI research proposal focused on how XAI can be clinically integrated in diagnostics. Synthesized medical and technical literature to specify evaluation and interpretability approaches for healthcare clinicians. Addressed regulatory hurdles relevant to deploying interpretable AI in precision medicine settings. • Investigated clinical integration, utility, and regulatory hurdles of XAI in clinical diagnostics • Outlined methodologies to improve algorithm transparency and interpretability • Conducted cross-disciplinary knowledge synthesis across medical and technical sources • Produced rigorous academic research design materials for regulatory-context study

2026 - 2026

Developer | Interactive Quiz & Study Automation Platform (2026)

Don't discloseDocument

Designed an AI-driven educational automation workflow that extracts and parses medical content from dense PDFs to generate interactive quiz materials. Implemented question formatting to support structured, exam-style learning without manual authoring for each item. Leveraged programming-based processing steps to transform source documents into question-ready outputs. • Extracted and parsed multiple-choice question content from medical PDFs using a Visual Studio Code workflow • Formatted extracted items into HTML-based interactive quizzes for study use • Reduced peer study preparation time for complex medical examinations • Supported active-recall style learning via automated quiz module generation

2026 - 2026

Education

Work History