Data specialist
i worked on appen platform for different projects
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Bilingual LLM Quality Specialist with 5+ years refining AI outputs for enterprises like RWS/TrainAI. Recognized as top 5% performer for: Precision Fact-Checking: Validated 1,200+ AI responses using WHO/Reuters sources, reducing factual errors by 30% in US-based LLM projects Cultural Localization: Spearheaded Urdu-English adaptation of 500+ prompts, improving cultural appropriateness scores from 68% to 92% High-Stakes Annotation: Led a 5-person team labeling 8,000+ conversational pairs with 99.2% inter-annotator agreement Bias Mitigation: Developed Pakistan's first ethical AI guidelines for religious/financial content (adopted by 3 local startups) Core Tools: Label Studio, Prodigy, BBC Urdu Fact Check | Certified: DeepLearning.AI Prompt Engineering
i worked on appen platform for different projects
» Evaluated 500+ LLM responses for cultural appropriateness in Pakistani/Indian contexts » Created 50+ localization rules (e.g., Eid greetings, wedding terminologies) » Improved user satisfaction scores by 35% through tone adaptation »Done 1000+ comparison (rating/evaluation) of LLMs Dates: Dec 2023 - May 2024
» Redesigned 300+ low-performing prompts across 12 clients » Achieved 15-25% accuracy improvements in specialized domains » Developed client-specific annotation guidelines for 5 LLM types Dates: Jan 2021 - Nov 2023
» Built first Urdu sentiment dataset (10,000+ social media samples) » Identified 200+ biased phrases in Islamic finance contexts » Reduced gender bias in outputs by 40% through iterative auditing Dates: Jun 2019 - Dec 2020
Bachelor of Science in Computer Science, Computer Science
Freelance Technical Content Editor
Computer Science Tutor & Academic Researcher