Swapnanil P.

Key Skills

Software

Other

Top Subject Matter

AI training output QA

programming & logic prompt compliance

code verification

Top Data Types

Text

Document

Top Task Types

Object Detection

Question Answering

Bounding Box

Evaluation/Rating

Computer Programming/Coding

Classification

Freelancer Overview

Freelance AI Quality Evaluator & Data Analyst (Independent Contractor). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Technology, National Institute of Technology (NIT) Durgapur (2028) and Class XII (Higher Secondary), Bodhicariya Senior Secondary School (2024). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Evaluation and Rating.

Labeling Experience

Freelance AI Quality Evaluator - Freelance AI Quality Evaluator & Data Analyst

You evaluate AI outputs for accuracy, logical consistency, and adherence to given programming and logic prompts. You also verify the underlying code structures and mathematical reasoning to ensure responses are factually correct and functionally working. This role requires strong QA discipline, algorithmic thinking, and proficiency in C/C++-style logic checks. • Review AI-generated solutions against prompt requirements and expected behavior • Validate mathematical logic and logical flow for correctness and completeness • Perform code verification to confirm factual and functional accuracy • Maintain high-quality assurance metrics on large data batches

2026 - Present

Freelance AI Quality Evaluator & Data Analyst (Independent Contractor)

OtherText

Served as an independent contractor performing AI output evaluation for an AI training platform. Assessed responses for accuracy, logical consistency, and strict adherence to programming and logic prompts. Verified that generated answers were both factually correct and functionally valid. • Rated/checked AI outputs against prompt requirements and expected logic. • Performed code verification and mathematical logic validation. • Tracked and maintained QA accuracy metrics averaging ~96%. • Reviewed high-volume data batches to ensure quality and compliance.

2026 - Present

Education

Work History