Farouk Y.

Key Skills

Software

Mindrift

Micro1

Don't disclose

Other

Top Subject Matter

Multilingual user-generated digital content and linguistic quality evaluation

Structured and unstructured digital data quality review and validation

Data pipeline and application-side data quality support

Top Data Types

Computer Code Programming

Image

Video

Text

Audio

Document

Top Task Types

Text Generation

Data Collection

Computer Programming/Coding

Classification

Freelancer Overview

YiziCorp — AI Systems Developer / Research Lead (AI data collection, annotation, validation, and QA). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Bachelor of Science, Federal University of Agriculture. AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

YiziCorp — AI Systems Developer / Research Lead (AI data collection, annotation, validation, and QA)

Don't discloseTextClassification

Worked on organizing and validating multilingual user-generated content for AI and language-based systems. Performed annotation, proofreading, categorization, and quality assurance to ensure contextual and linguistic correctness across multiple domains. Ensured secure handling of sensitive information and adherence to confidentiality requirements. • Multilingual text categorization across topics (technology, entertainment, finance, sports, gaming, lifestyle) • Contextual interpretation and metadata handling for training-quality data • Proofreading and data accuracy checks for user-generated datasets • Linguistic consistency review to improve downstream AI outputs

2021 - Present

Yazolat — Systems Analyst / Mobile Developer (data review and validation for reliability)

OtherText

Performed review and consistency checking on structured and unstructured digital data used in mobile and application workflows. Identified data inconsistencies and contributed to improved validation processes for better processing accuracy. Supported overall data reliability through systematic quality checks. • Message, file, and form data review for inconsistencies • Validation and accuracy improvements for processing pipelines • Data reliability checks across digital workflows • Quality-focused analysis of user-facing data

2020 - 2021

Android Developer (structured data workflow development supporting reliable data processing)

Other

Supported structured user-data workflows through application development and data pipeline work. Performed testing, debugging, and optimization to improve accuracy, reliability, and performance of data handling components. While not specifically labeled as AI data labeling, contributed to the enabling data infrastructure for consistent dataset processing. • API and data pipeline accuracy support • Testing and debugging for reliable data handling • Optimization for performance and correctness of data workflows • Ensured dependable integration between application data sources and processing

2018 - 2020

Education

Work History