Climate-data pixels aligned
Prepared high-resolution atmospheric data for machine-learning research with UC Berkeley’s Cohen Research Group.
Data science · Machine learning · Software
I turn complex data into practical, responsible technology.
From climate research to production software, I’ve gravitated toward work where I can dive into a difficult problem, analyze trends, and generate useful results.
A quick snapshot
I’ve worked across research, engineering, and applied machine learning guided by one consistent objective: converting technical insight into practical, valuable solutions.
Prepared high-resolution atmospheric data for machine-learning research with UC Berkeley’s Cohen Research Group.
Helped train a neural network to recognize valid compound-word structures across thousands of examples in Standard American English.
Built features for a market misconduct detection application used by leading financial institutions during my tenure at Smarsh.
How I work
I care about doing excellent work without losing sight of who the work is for. That means asking good questions, communicating clearly, and treating ethics and responsibility as part of the build, not an afterthought.
More about my journey