Sapna D.

Key Skills

Software

Other

Micro1

Labelbox

Top Subject Matter

Math (algebra, calculus) and logical reasoning with LLM evaluation

Backend code correctness support (Java/Spring Boot) and configuration artifacts (YAML)

Top Data Types

Image

Video

Computer Code Programming

Top Task Types

Fine-tuning

Data Collection

Prompt + Response Writing (SFT)

Text Summarization

Object Detection

Text Generation

Bounding Box

Classification

Segmentation

Function Calling

Computer Programming/Coding

Freelancer Overview

Math AI Trainer & Evaluator at Outlier (Freelancer). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Internal, and Proprietary Tooling. Education includes Bachelor of Technology, NIT Uttarakhand, Srinagar (2025). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Computer Programming.

Labeling Experience

Software Developer (AI code quality evaluation adjacent) at Infinite via Niyal Services

Developed and validated YAML configuration files and backend REST APIs to support enterprise applications where code quality and correctness are critical. Wrote clean, OOP-compliant, and well-documented Java code applicable to AI code quality evaluation and annotation workflows. Contributed to code reviews and production deployments in an Agile environment. • Produced maintainable Java code suitable for code-correction and evaluation datasets • Wrote and validated YAML deployment/configuration artifacts • Participated in code review workflows and documentation practices • Built REST API backends using Spring Boot supporting evaluation-ready engineering outputs

2025 - Present

Math AI Trainer & Evaluator at Outlier (Freelancer)

OtherText

Trained large language models by reviewing AI-generated mathematical solutions and writing structured corrections. Evaluated and rated model outputs for accuracy, logic, and clarity, and improved performance in areas like logical reasoning, algebra, and calculus. Provided step-by-step explanations and maintained high standards for consistency in written feedback. • Corrected incorrect reasoning in math solutions • Authored detailed step-by-step explanations for logical/algebra/calculus tasks • Rated outputs for accuracy, logic, and clarity • Ensured feedback quality with zero tolerance for inconsistencies

2024 - 2025

Education

Work History