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W
Wasey J.

Wasey J.

AI Trainer & Evaluator | Software Engineer | Flutter Developer

India flagVaranasi, India

Key Skills

Software

No software listed

Top Subject Matter

General AI/Data Labeling
2. Software Engineering & Development
3. Mobile & Web Application Development

Top Data Types

Computer Code ProgrammingComputer Code Programming
ImageImage
VideoVideo
TextText
DocumentDocument

Top Task Types

Computer Programming/CodingComputer Programming/Coding
Question AnsweringQuestion Answering
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Data CollectionData Collection
Bounding BoxBounding Box
SegmentationSegmentation

Freelancer Overview

B.Tech Computer Science graduate (APJAKTU, 2025) with hands-on experience in software engineering, logical reasoning, and structured problem-solving. Strong written and verbal English communication skills with demonstrated ability to evaluate technical accuracy, analyze complex information, and provide detailed, well-reasoned responses. Experienced in building production-grade applications including a live OTT streaming app on Google Play Store and a live B2B SaaS platform — skills that translate directly into AI model training and evaluation tasks. Bilingual in English and Hindi. Also familiar with data annotation tasks including image labeling, video labeling, bounding boxes, segmentation, and data collection.

Labeling Experience

AI Prompt Evaluation & Output Quality Review

TextTextQuestion AnsweringQuestion Answering

Regularly evaluated AI-generated outputs using ChatGPT and Claude for factual accuracy, tone, completeness, and logical consistency. Assessed prompt quality and response correctness across coding, writing, and reasoning tasks — directly aligned with AI model training and evaluation workflows used by platforms like Outlier and Alignerr.

2024 - Present

Video Annotation/Data Labeling Contributor

VideoVideoSegmentationSegmentation

I contributed to video annotation projects, focusing on object identification and segmentation within video frames. The work required careful attention to detail and the ability to consistently label dynamic sequences using structured processes. My experience includes following specific instructions for annotating temporal data to support AI training models. • Video annotation for object segmentation and tracking. • Time-sequenced data labeling with attention to changes between frames. • Applied established labeling schemas and quality checks. • Supported development of video understanding AI models.

Present

Data Annotation (Image Labeling, Segmentation)

ImageImageBounding BoxBounding Box

I performed image annotation tasks involving bounding boxes and segmentation techniques for datasets used in AI training. The role required following detailed labeling guidelines and maintaining high accuracy across a variety of labeling tasks. I became experienced at ensuring consistency, handling large datasets, and working with repetitive annotation assignments. • Image annotation using bounding boxes and segmentation for AI datasets. • Strict adherence to labeling guidelines and quality standards. • Managed high-volume, repetitive annotation workflows with accuracy. • Developed a deep understanding of image-based AI training requirements.

Present

Education

D

Dr. A. P. J. Abdul Kalam Technical University

Bachelor of Technology, Computer Science Engineering

Bachelor of Technology
2021 - 2025

Work History

S

Self-employed / Personal Project

Flutter Developer — DramaHub OTT App

Lucknow
2026 - Present
S

Self-employed / Personal Project

Full-Stack Developer — NetworksInsights

Lucknow
2025 - 2026