# Hannah Daniel

> Building AI Data Systems for Alphabet

Location: San Francisco, California, United States
Profile: https://flows.cv/hannahdaniel

currently software at google deepmind, cornell cs graduate with concentration in business and music, and experienced software engineer with full-stack and machine learning experience.

## Work Experience
### Software Engineer @ Alphabet Inc.
Jan 2026 – Present | Mountain View, CA
• Integrating the DeepMind and Google human data layer with external vendors (e.g., Mercor, Scale AI)
• Conducting studies to generate high-quality post-training annotation data for DeepMind models and Google ML Researchers

### Software Engineer @ Google DeepMind
Jan 2025 – Present | San Francisco Bay Area
• Scaled Google AI Studio from prototype to 17.1 Million MAU
• Designed and built a data flywheel that improved Gemini model evaluation performance by 15%, directly influencing model quality and deployment decisions
• Created a model obfuscation and A/B testing framework used/viewed by Demis H., Koray K., and the Gemini model eval team to evaluate, iterate on, and determine which Gemini model version gets released to the public
• Led full-stack development for critical API integrations, enabling launch and adoption of flagship models including Nano Banana Pro, Imagen, and Veo
• Redesigned and shipped major UI overhauls across core product surfaces to improve usability, performance, and developer experience

### Software Engineer @ Google
Jan 2023 – Jan 2025 | Sunnyvale, California, United States
• Vertex AI Studio & Google AI Studio

### Software Engineer Intern @ Google
Jan 2022 – Jan 2022 | Sunnyvale, California, United States
• Implementing Google’s newest high-speed ML/scientific computation library, JAX, in Google Cloud
• Providing a JAX deep learning virtual machine (DLVM) and container for customers
• JAX virtual machine image is up to 15 times faster than existing frameworks (PyTorch and TensorFlow)
• Publishing article discussing JAX and publishing benchmark test results against popular ML frameworks

### Software Engineer Intern @ GE Healthcare
Jan 2021 – Jan 2021 | Chicago, Illinois, United States
• Automated a system dependency check to be utilized in Xray DevSecOps pipeline
• Designed standalone security pipeline to be used in all imaging modalities in GE
• Utilized Jenkins and Shell Scripting to implement pipeline
• Reduced manual processing time by 40 minutes in a 5 hour pipeline

### Lead Software Engineer Intern @ Harvard Medical School and Massachusetts General Hospital
Jan 2020 – Jan 2020 | Boston, Massachusetts, United States
• Analyzed dataset of 500 chest X-rays to detect COVID-19 
• Designed a neural network to differentiate COVID-19 from other pulmonary diseases
• Organized datasets using Python and TensorFlow

### Software Engineer Intern @ Harvard Medical School and Massachusetts General Hospital
Jan 2019 – Jan 2019 | Greater Boston Area
• Represented Harvard Medical School Laboratory of Medical Imaging and Computation in SIIM-ACR Pneumothorax Segmentation competition hosted on Kaggle. 
• Analyzed chest X-Rays to check for Pneumothorax using machine learning through TensorFlow.


## Education
### Bachelor of Science - BS in Engineering in Computer Science
Cornell University

### High School in Electrical and Computer Engineering
Middlesex County Vocational Academy Math Science &Engineering Techn


## Contact & Social
- LinkedIn: https://linkedin.com/in/han9

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Source: https://flows.cv/hannahdaniel
JSON Resume: https://flows.cv/hannahdaniel/resume.json
Last updated: 2026-04-11