NLP Engineer Resume Example

“NLP engineer with 5 years building natural language processing systems for text classification, information extraction, and conversational AI. Expert in transformer architectures, fine-tuning language models, and deploying NLP solutions at scale for search, content moderation, and chatbot applications.”

• Built a multilingual text classification system that processes 1M+ documents daily in 12 languages. 94% macro-F1 using fine-tuned XLM-RoBERTa
• Developed an NER pipeline for medical records that extracts 50+ entity types at 91% F1. Cut manual annotation time by 75%
• Designed the intent classification and slot filling for a customer service chatbot. Handles 100K+ conversations monthly at 88% resolution
• Built a semantic search engine with sentence transformers and FAISS. Search relevance improved 45% over the old keyword approach
• Created a content moderation system analyzing 5M+ posts daily. 96% precision on toxic content with only 2% false positives
• Responsible for the annotation pipeline - managed labeling guidelines, quality checks, and a team of 8 contract annotators
• Worked with the product team to define what counts as a successful NLP output and how to measure it in production
• Trained and evaluated models using Hugging Face Transformers. Maintained experiment logs and model cards for each release
• Wrote data augmentation scripts for low-resource languages where we didn't have enough labeled training data

Include these keywords in your resume to pass Applicant Tracking Systems.

• DeepLearning.AI Natural Language Processing Specialization
• Stanford NLP Certificate