Akash S.

Key Skills

Software

Other

Top Subject Matter

LLM training data preparation and dataset quality assurance

Programming training/algorithm practice (DSA)

Top Data Types

Text

Image

Top Task Types

Data Collection

Freelancer Overview

Project Contributor — Outlier AI (LLM data preparation). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Technology, Lovely Professional University (2026) and Intermediate (Class XII), Model School (2022). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Data Collection, Evaluation, and Rating.

Labeling Experience

Data Structures and Algorithms Intern — Cipher School (training)

Other

Completed a comprehensive DSA internship involving Java with a focus on algorithmic optimization and performance. Earned an official certification reflecting strong completion of core coding assignments and optimization projects. Strengthened structured problem-solving skills through training-style practice. • Completed DSA assignments and optimization projects using Java. • Applied efficient algorithmic structures to improve solution performance. • Worked through training-oriented coursework aimed at assessment and certification. • Achieved certification for excellent internship performance.

2025

Project Contributor — Outlier AI (LLM data preparation)

TextData Collection

Contributed to LLM training workflows by enhancing data integration and optimizing dataset quality for deep analytics. Validated, checked, and filtered multi-modal datasets to ensure accuracy prior to model training. Focused on maintaining high-quality standards throughout the preparation pipeline. • Improved data integration and quality optimization for LLM training. • Performed accuracy-focused validation and quality checking on multi-modal datasets. • Filtered and refined data to remove inaccuracies and improve dataset reliability. • Supported analytics workflows used for model training preparation.

2025

Education

Work History