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Hire Jeffrey B. - AI Engineer - New York

Ai Engineer

9+ years
new york, new york, united states
Google

About jeffrey

I'm an experienced Data Scientist and Machine Learning Engineer with a strong foundation in algorithms, predictive modeling, experimentation, and product-driven machine learning solutions. With a background in mathematics and statistics, I specialize in designing and deploying scalable ML models and AI systems that drive impact. I have experience optimizing large-scale data infrastructure, cloud-based ML deployments, and end-to-end model lifecycle management. Passionate about leveraging cutting-edge AI techniques, I enjoy solving complex data problems and translating them into actionable, high-performance solutions. Skills: * Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas, LangChain), Java, R * ML & AI: Predictive Modeling, NLP, RAG, Prompt Engineering & Tuning, Deep Learning, LangChain, Feature Engineering & Model Deployment * Data & Software Engineering: SQL (Snowflake, Presto, MySQL), NoSQL, Apache Beam, Spark, Airflow, APIs, Object-Oriented Programming, System Design, Experimentation & Causal Inference * Cloud & Infrastructure: AWS, GCP, Azure, Docker, Git, UNIX, CI/CD, Optimization & Scalability If I'm not behind my keyboard, you can usually find me skiing, cooking, hiking, or watching Fulham beat other teams in the Premier League.

Key Skills

a/b testingapplied machine learningartificial intelligencecloud computingcssdata analysisdata analyticsdata processingdeep learninggithtmljavalarge language modelsmachine learningmicrosoft office+12 more

Experience

Ai Engineer

Current

Google

Forward Deployed Ai Engineer

Qurrent

Data Scientist

One Medical

Spearheaded research on advanced LLM prompt engineering methodologies to develop a effective solution for classifying the tone of provider messages. Model predictions on unseen provider messages were put into production and used to inform and benchmark crucial work by the ML team. -Leveraged NLP techniques (TF-IDF, BERT, BEIR) to automate the extraction of self-reported care gap closures from unstructured patient chart fields, identifying ~800 undocumented closures on initial deployment. This reduced internal operational costs and enhanced HEDIS performance metrics. -Designed and shaped strategies to build proprietary datasets in partnership with UCSF, culminating in the development of a predictive model to forecast ER admissions.

Education

University Of California, Berkeley

Bachelor Of Arts

Mira Costa High School

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Common Questions

What is jeffrey's expertise?

jeffrey specializes in AI Engineer - New York, with expertise in a/b testing, applied machine learning, artificial intelligence, cloud computing, css.

Where is jeffrey located?

jeffrey is based in new york, new york, united states.

How much experience does jeffrey have?

jeffrey has 9+ years of professional experience.

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