Hillary Sanders

About Hillary Sanders

I\'m a neural network researcher, data scientist, software engineer, and co-author of the book \"Malware Data Science\"(No Starch Press, https://amzn.to/2LCzBsT, authored chapters on neural networks). Eleven years of industry (ML, DS, & software engineering) experience.Specialties- Machine learning, deep learning / neural networks / large language models / attention & transformer mechanisms; bayesian statistics, ML experimentation & training pipelines, probability theory, data visualization- Languages: Python (PyTorch / Keras / TensorFlow / MLflow / Pandas / Numpy / Re). Comfortable using HTML, CSS, Javascript (esp. React & Material-UI), C++, R- Common Tools: Docker, PostgreSQL, AWS services (EC2 instances, Redshift, Elasticsearch, S3, Spark, etc), Bash, Terraform.I like breaking complex ideas down into easy-to-understand messages. And I like pushing systems to optimize true goals, as opposed to sometimes-easier, indirect goals.More about me at:hillarysanders.comgithub.com/hillarysandersbsky.app/profile/meatlearner.bsky.social

Experience

1. Principal Member of Technical Staff, Heroku Ai

   Salesforce

   Dec 2023 — Present

   Leveraging tools like Triton, TensorRT-LLM, VLLM, and PyTorch to deploy cost-performant, resilient LLMs & diffusion models to production at scale.Also developing custom agentic flows to leverage the power of LLMs in complex tasks (RAG, tools, graph-based action flows).

Education

• University of California, Berkeley

  Env Economics & Policy

• University of California, Berkeley

  Statistics

Skills

• Django
• Amazon Rds
• Data Science
• Amazon Web Services (Aws)
• Data Mining
• Html
• Artificial Neural Networks
• Data Analysis
• Oil Painting
• Sql
• Algorithms
• Env & Microeconomics
• Python
• Statistical Modeling
• Google App Engine
• R
• Latex
• Statistics
• Statistical Methods
• Css
• Economics
• Rock Climbing!
• Unix
• Machine Learning
• Sas Programming
• Postgresql