Christian Adegboyega

Key Skills

Software

Telus

Top Subject Matter

LLM code evaluation and logic validation

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Text

Document

Top Task Types

RLHF

Red Teaming

Fine-tuning

Transcription

Evaluation/Rating

Computer Programming/Coding

Text Summarization

Question Answering

Text Generation

Object Detection

Cuboid

Polyline

Point/Key Point

Entity (NER) Classification

Segmentation

Polygon

Classification

Data Collection

Function Calling

Prompt + Response Writing (SFT)

Freelancer Overview

Senior AI Logic Specialist & Code Evaluation Expert, TELUS International. Brings 15+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Telus. Education includes Bachelor of Science, University of Oxford (2010). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation and Rating.

Labeling Experience

Senior AI Logic Specialist & Code Evaluation Expert, TELUS International

Telus

Evaluated and audited AI-generated code for logical correctness, syntactic accuracy, and adherence to clean-code principles over hundreds of submissions. Designed adversarial and multi-turn debugging scenarios requiring deep reasoning and step-wise explanation from large language models. Optimized and refined instruction phrasing to improve model behavior and reduce hallucination. • Audited Python and JavaScript code produced by AI models across enterprise-scale codebases. • Conducted structured security audits for vulnerabilities and provided remediation guidance for model retraining. • Developed and maintained evaluation rubrics and contributed to QA consistency improvements. • Validated AI-generated code for proper framework usage including React, Django, and FastAPI.

Evaluated and audited AI-generated code for logical correctness, syntactic accuracy, and adherence to clean-code principles over hundreds of submissions. Designed adversarial and multi-turn debugging scenarios requiring deep reasoning and step-wise explanation from large language models. Optimized and refined instruction phrasing to improve model behavior and reduce hallucination. • Audited Python and JavaScript code produced by AI models across enterprise-scale codebases. • Conducted structured security audits for vulnerabilities and provided remediation guidance for model retraining. • Developed and maintained evaluation rubrics and contributed to QA consistency improvements. • Validated AI-generated code for proper framework usage including React, Django, and FastAPI.

2020 - Present

Education

Work History