Megan Dass
Software Engineer at Stanford University
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolMegan Dass is a software engineer and Stanford MSCS student with nine years of experience building AI-driven products and research systems across Google, Microsoft, and top universities. Her work spans applied generative AI at Google Labs (NotebookLM, grounding Gemini) and translational healthcare research—integrating genomic knowledge graphs and LLMs for clinical variant discovery and predicting long-term HbA1c from CGM data. She has a proven track record of shipping production features (chatbots, Kotlin coroutine tooling, content pipelines) and prototyping research-grade tools (AR surgical planning, adversarial defenses, in-browser neural visualizers). Comfortable moving between prompt engineering, model fine-tuning, and full-stack implementation, she focuses on making advanced ML accessible to clinicians and end users. Based in the Bay Area, she blends deep academic mentorship with product-facing engineering, often bridging novel research ideas into deployable systems.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Georgia Institute of TechnologyHigh School Diploma, High School Diploma at Thomas Jefferson High School for Science and TechnologyMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
Github Skills (1)
planning1
Programming languages (4)
Github contributions (5)
poloclub/skeletricks
Mar 2021 - Mar 2021
Contributions:122 commits, 5 pushes, 1 tag in 1 day
poloclub/magic-crop
Aug 2020 - Feb 2022
Contributions:14 pushes in 1 year 5 months
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