GitHub | Senior Applied Researcher | April 2024 - Present

• Lead an embedded team of 6 applied researchers, serving as the primary tech lead from Applied Science driving cross-functional collaboration with product, engineering, and design teams
  
• Develop new AI-powered experiences within GitHub Copilot, leveraging cutting-edge LLMs to deliver new features for millions of developers
  
• Design agentic systems to accomplish complex software engineering tasks, such as reviewing pull requests (see Copilot Code Review)
  
• Fine-tune LLMs using LoRA to improve code generation quality
  
• Mentor junior team members through pairing and sharing knowledge of ML best practices
  
• Conduct A/B tests to quantify model improvements, delivering statistically significant performance gains in production
  
• Act as a key member of the hiring team for applied researchers, including designing technical interview material and assessing prospective team members

Azra AI | Lead Data Scientist | October 2019 - March 2024

• Led research on efficient architectures for long-context NLP, implementing and adapting emerging methods (including MEGA architecture contribution to Hugging Face Transformers) for clinical NLP
  
• Designed pretraining and domain-adaptation pipelines, producing language models optimized for deployment on resource-constrained hardware
  
• Built and deployed clinical NLP models (NER, classification) identifying high-risk findings for 200k+ patients annually, enabling early detection and faster treatment
  
• Drove technical strategy for ML product development, evaluating cutting-edge research and rapidly prototyping novel architectures for production deployment
  
• Collaborated with clinical stakeholders to ensure model accuracy and reliability met the high standards required for cancer detection workflows
• Note: Azra AI spun out as a standalone company in January 2022, previously part of Digital Reasoning

Asurion | Data Scientist | March 2018 - October 2019

• Applied methods from NLP, statistical inference, and operations research to solve a diverse set of business problems
• Communicated findings to stakeholders ranging from highly technical to C-level

GEICO | Product Modeling Analyst III | June 2016 - March 2018

• Built predictive models for customer behavior under various pricing scenarios
• Conducted robust statistical analyses in support of pricing department

Non-Author Textbook Contributions

Code contributions for Transformers for Machine Learning: A Deep Dive (Kamath, Graham & Emara; Chapman & Hall, 2022); Machine Translation - Transformer vs. LSTM

Code contributions for Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning (Kamath & Liu; Springer 2021); Demo of Explainable Models