Details
Skills
Happy to help, Ayanda! I went through your resume and pulled together a organized list of your skills below.
AI & Machine Learning
* LLM Evaluation & Benchmarking
* Prompt Engineering
* Dataset Refinement & Engineering
* Reinforcement Learning from Human Feedback (RLHF)
* Supervised Fine-Tuning (SFT)
* Data Annotation
* Model Alignment
* Semantic Error Correction
* Hallucination & Bias Detection
Localization & Language Engineering
* Machine Translation Post-Editing (MTPE)
* Automated Speech Recognition (ASR)
* Quality Assurance (QA)
* Localization & Transcreation
* Cross-Cultural Tokenization
* Linguistic Edge Case Identification
* Metadata Curation & Classification
Technical & Tools
- Python (data pre-processing)
- Jira
- XML, HTML
- CI/CD Logic
- Agile/Scrum methodology
- Data Pipelines
- Version Control
- CAT Tools: Trados Studio, MemoQ, Smartcat, Memsource, Wordfast, XTM Cloud 13.0
- Microsoft Office Suite, Google Workspace, Slack, Zoom
Domain Expertise
- Legal AI Datasets
- Energy Sector Documentation
- Entertainment Metadata
- Technical Writing
- Financial Compliance Translation
- Gaming & Fintech localization
Languages
- English (Native/Bilingual)
- Afrikaans (Native/Bilingual)
- Dutch (Advanced Professional)
- Spanish (Advanced Professional)
- German (Professional Working)
Certifications supporting these skills
- AWS Certified AI Practitioner
- AWS Introduction to Cloud Computing
- Prompt Engineering for ChatGPT (Vanderbilt University)
- Machine Translation (Karlsruhe Institute of Technology)
- Managing Machine Learning Models / Statistics for Machine Learning
- Machine Learning Using SAS Viya
- Exploratory Data Analysis for Machine Learning (IBM)
- Microsoft Azure for Data Engineering / Data Storage in Azure / Introduction to Data Engineering
CompTIA A+, ITIL 4 Exam Prep, .NET Applications, CI/CD Concepts, Operating Systems Fundamentals
About
Highly skilled and analytical Multilingual AI Trainer and Language Data Specialist with 8+ years of experience engineering high-quality datasets, evaluating Large Language Model (LLM) performance, and optimizing Generative AI text outputs for global technology leaders. Expert in Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), and Machine Translation Post-Editing (MTPE). Proven track record identifying complex linguistic edge cases, semantic drift, and cultural nuances across 5+ languages (English, Afrikaans, Dutch, Spanish, German). Adept at bridging the gap between engineering requirements and human language nuances, collaborating seamlessly with cross-functional AI researchers and software engineers in agile, asynchronous environments.
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