AI Consultant

AI Consultant — Zenith Analytics Partners

Seattle, WA | September 2023 – Present

• Designed and deployed 3 enterprise generative AI assistants in production, reducing customer service response times by 42% and processing over 50,000 inquiries daily.
• Orchestrated the transition to a vector database architecture using Pinecone, improving document retrieval accuracy by 27% and saving $18,000 in monthly search costs.
• Led a cross-functional team of 4 engineers to fine-tune open-source Llama 3 models for a financial services client, boosting sentiment analysis accuracy from 74% to 91%.
• Established comprehensive model evaluation frameworks and automated testing pipelines, decreasing production bug rates by 31% and saving 12 developer hours per week.

Machine Learning Specialist — NovaTech Solutions

Denver, CO | June 2021 – August 2023

• Developed custom classification models using PyTorch and Scikit-Learn, improving recommendation CTR by 19% for an e-commerce platform with 1.2M active users.
• Optimized data pipeline ingestion speeds by 38% through rewriting Spark processing scripts, reducing pipeline failures and saving 8 weekly engineering hours.
• Migrated 14 legacy classification models to AWS SageMaker pipelines, reducing model deployment times by 65% and cutting AWS training infrastructure expenses by 22%.
• Collaborated with product and engineering teams to clean and preprocess 500GB of unstructured text data, improving natural language classification accuracy by 15%.

Machine learning, Deep learning, Large language models (LLMs), Retrieval-Augmented Generation (RAG), Fine-tuning, PyTorch, Scikit-Learn, Hugging Face, LangChain, AWS SageMaker, MLflow, Pinecone, Qdrant, Python, SQL, Apache Spark, Docker, Git

Enterprise RAG Pipeline Implementation

Role: Lead AI Developer

Tools: Python, LangChain, Qdrant, AWS SageMaker

Led the 6-month development of a secure document search system, improving retrieval recall by 34% and cutting support ticket volumes by 25%.

Customer Intent Classification Upgrade

Role: Machine Learning Specialist

Tools: PyTorch, Hugging Face, MLflow, Docker

Built a custom classification engine for 200,000 daily reviews, improving prediction F1-score from 0.82 to 0.94 and reducing processing costs by 30%.

• Google Cloud Professional Machine Learning Engineer (2024)
• AWS Certified Machine Learning – Specialty (2022)

• Languages: English (Native), French (Conversational)
• Volunteer Work: Technical mentor for Seattle youth coding workshops (2022-present)
• Availability: 3 weeks notice