Akash Y.

Key Skills

Software

Data Annotation Tech

Remotasks

Scale AI

Top Subject Matter

Decision-support system development and structured data handling (AI-ready workflows)

Top Data Types

Text

Document

Top Task Types

Data Collection

Computer Programming/Coding

Bounding Box

Classification

RLHF

Question Answering

Freelancer Overview

Software Development Intern — Vehicle Requisition System (data handling for automated decision-support workflows). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Technology, University of Mumbai (2023). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Data Collection.

Labeling Experience

Software Development Intern — Vehicle Requisition System (data handling for automated decision-support workflows)

Data Collection

Built and integrated an AI-adjacent software workflow as part of a production internship, focusing on secure data handling and structured outputs that support downstream AI-ready systems. The work emphasized validation, traceability, and admin-controlled review processes to ensure high-quality inputs for automated decision support. OWASP-aligned practices were followed to maintain data integrity throughout the lifecycle. • Implemented user authentication and admin approval workflows. • Added real-time status tracking for operational transparency. • Produced clean, production-ready documented code to support structured reporting standards. • Designed system behavior to facilitate reliable, reviewable data creation for analytics/AI use cases.

2025 - 2025

AI Training & Response Evaluation Specialist

TextRLHF

Worked on AI training and data annotation projects focused on improving Large Language Models (LLMs). Responsibilities included evaluating AI-generated responses, ranking outputs based on quality and relevance, rewriting inaccurate or low-quality responses, prompt analysis, factuality checking, and instruction-following validation. Contributed to reinforcement learning from human feedback (RLHF) workflows and conversational AI optimization tasks. Maintained high accuracy standards while following detailed annotation guidelines, quality assurance procedures, and project-specific evaluation rubrics across large-scale datasets.

2024 - 2025

Education

Work History