Sodiq I.

Key Skills

Software

Other

Top Subject Matter

Data Pipelines & Cloud Automation (Supabase, Edge Functions)

IT operations documentation and quality evaluation

Top Data Types

Text

Document

Image

Top Task Types

Evaluation/Rating

Transcription

Data Collection

Prompt + Response Writing (SFT)

Computer Programming/Coding

Classification

Freelancer Overview

My background in IT Operations has given me a strong foundation in precision data tracking, error detection, and structured documentation — skills that transfer directly into AI training and data labeling work. I have hands-on experience building and deploying systems that require consistency and accuracy at scale, including a CRM system that improved data tracking accuracy by 40%. On the technical side, I have worked across several AI-assisted development platforms including Bolt, Lovable, Replit, Google AI Studio, and Antigravity — giving me a practical understanding of how AI models respond to prompts, where they fall short, and what good output looks like. That exposure, combined with a First Class degree in Biochemistry and a certified background in network infrastructure, makes me well suited to evaluate, annotate, and improve AI-generated content across both technical and scientific domains.

Labeling Experience

AI-Driven Audio Transcription & Marketing Appraisal Automation

ImageTranscription

Built and deployed an automated data pipeline to audit, transcribe, and label high-volume marketing audio recordings for performance analysis. Configured direct cloud sync triggers that fed unstructured call audio into a processing engine. Responsibilities included defining the data annotation schema, engineering prompt templates for AI-driven text appraisal, and setting strict validation rules—such as auditing text transcripts for exact business address matches and scoring compliance indicators. Developed the backend infrastructure to parse, structure, and store the resulting labeled data into a relational database for dashboard visualization.

2026 - Present

High-Volume Traffic Analytics & User Engagement Data Pipeline

ImageData Collection

Designed and deployed a behavioral data pipeline that tracks, logs, and processes real-time customer traffic and engagement metrics. Engineered backend database triggers to capture user activity and structurally categorize engagement data. Developed serverless Edge Functions that run automated end-of-month aggregation routines—parsing, structuring, and transforming raw transactional and traffic datasets into personalized markdown-formatted summaries. Integrated automated conditional logic to filter out incomplete user profiles, ensuring that downstream delivery engines only process fully validated datasets.

2026 - 2026

Education

Work History