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Waqas GhaffarWG
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Waqas Ghaffar

@waqasghaffar

I audit AI training data, LLM outputs, and multimodal datasets to improve model reliability and safety.

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What I'm looking for

I'm looking to improve AI data quality, model reliability, and safety through rigorous audits, rubric design, root-cause analysis, and trainer calibration.

At Invisible Technologies, I audit AI training data, RLHF and SFT datasets, LLM responses, and RAG outputs to improve factual consistency, safety guardrails, and annotation quality. I also design evaluation rubrics, investigate quality drops, and mentor AI Data Trainers through calibration and feedback.

Previously, I led customer support and training teams across financial services, e-commerce, digital banking, and logistics for Western Union, Walmart, Revolut, Uber, and Uber Eats. I bring hands-on experience in quality governance, technical troubleshooting, SLA delivery, workforce management, and performance reporting.

Experience

Work history, roles, and key accomplishments

IT
Current

Senior AI Quality Specialist & Data Trainer

Invisible Technologies

Jan 2023 - Present (3 years 8 months)

Conducts systematic quality audits, edge-case evaluations, and inter-annotator agreement sampling to monitor data labeling accuracy. Designs and maintains evaluation rubrics for multi-turn conversational AI, RLHF preference ranking, and domain-specific LLM benchmarking.

Education

Degrees, certifications, and relevant coursework

SA

SKANS School of Accountancy

Associate Certified Chartered Accountancy (ACCA), Accounting

Pursued the Association of Chartered Certified Accountants (ACCA) qualification with coursework in financial reporting, management accounting, quantitative methods, business analysis, audit and assurance, and data analysis.

BS

Beaconhouse School System

GCE A-Levels, General Studies

Completed GCE A-Levels with coursework in mathematics, computer studies, business studies, and English language.

BS

Beaconhouse School System

GCE O-Levels, General Studies

Completed GCE O-Levels with coursework in mathematics, computer studies, business studies, and English language.

Tech stack

Software and tools used professionally

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