AI Language Specialist

AI Language Specialist — NeuraText Systems

Seattle, WA | September 2023 – Present

• Engineered 120+ targeted prompt templates for conversational AI models using Hugging Face and LangChain, increasing user engagement metrics by 34% over a 6-month trial.
• Curated and annotated a 1.5M-token gold-standard evaluation dataset for generative models, reducing hallucination rates in conversational answers by 27%.
• Formulated multi-turn response evaluation rubrics using Python scripts, which increased the quality assessment throughput of model outputs by 42% for 6 language variants.
• Collaborated with 8 machine learning engineers to deploy automated reinforcement learning from human feedback (RLHF) loops, cutting system alignment cycles by 5 weeks.

Computational Linguist — Lexicon Technologies

Portland, OR | June 2021 – August 2023

• Developed custom syntactic and semantic parsing scripts in Python for search queries, improving intent classification accuracy by 19% across 3 distinct product verticals.
• Designed taxonomy frameworks for a proprietary ontology, expanding entity coverage by 45,000 terms and reducing search retrieval latency by 180 milliseconds.
• Executed regression testing on 5 natural language processing pipelines, identifying critical tokenization errors that improved text categorization precision by 15%.
• Mentored 3 contract data annotation specialists on linguistic labeling conventions, boosting labeling consistency and quality control metrics by 22% over 12 months.

Prompt engineering, Large language models (LLMs), Reinforcement learning from human feedback (RLHF), Multilingual dataset curation, Semantic parsing, Ontologies and taxonomies, Tokenization, Python, PyTorch, SQL, Hugging Face, LangChain, Git, Linux

Multilingual LLM Alignment

Role: Lead Linguist

Tools: Python, PyTorch, Hugging Face, Git

Led the linguistic alignment of a 7B-parameter bilingual model, improving cross-lingual translation precision by 24% and output coherence by 31%.

Ontology Expansion Initiative

Role: Computational Linguist

Tools: SQL, Python, Neo4j, Linux

Architected a query classification ontology containing 50,000 nodes, reducing search query routing errors by 36% over 4 months of production testing.

• AWS Certified AI Practitioner (2025)
• Google Cloud Professional Machine Learning Engineer (2024)
• DeepLearning.AI Natural Language Processing Specialization (2022)

• Languages: English (Native), Spanish (Conversational), German (Basic)
• Volunteer Work: Volunteer tutor for local adult literacy programs (2022-present)
• Availability: 2 weeks notice