Natasha Ann is a software engineer, researcher, and communicator with eight years’ experience building first-of-its-kind products, shaping tech policy, and translating complex AI and emerging-technology topics into engaging public narratives. As a co-founder and host of ragTech and a creator on TikTok and Instagram, she demystifies AI ethics and real-life tech for broad audiences while advising organizations on responsible, production-ready agentic systems. Her background spans applied research with UCLA (predicting technology diffusion using 50 years of patent data), technical roles in the Republic of Singapore Air Force, and policy advisory work for Singapore’s Digital and Intelligence Service and Ministry of Education. Natasha blends hands-on engineering, cross-functional leadership, and community building—having led partnerships for Women Devs SG and contributed open-source volunteer tools—so she operates comfortably at the intersection of storytelling, research, and systems-level impact. Colleagues describe her curiosity-driven trajectory as eclectic but purposefully focused on ensuring breakthroughs serve society with clarity and accountability.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Information Systems, Master of Science - MS, Computer Information Systems at Boston University Metropolitan College
Today’s fire at Notre Dame Cathedral incited a culture war on social media with some users mourning an irreplaceable historical landmark and others hailing the event as a literal challenge to hegemonic power structures as put forth by the Catholic Church over the centuries. Using sentiment analysis, we will be able to divide tweets and subsequently users into two groups: supporters of the church and dissenters of the church. The project will call into question the ratio of supporters to dissenters as well as their respective geolocations, genders (https://genderize.io/), and age groups (if possible??? https://towardsdatascience.com/twitter-demographics-user-age-inference-82ad7bf65229). How do these factors relate to ideology? As the online culture wars wage on, content has become increasingly virulent – irony and sarcasm are common tones users take in expressing their disdain. Because of this the project also seeks to understand how irony might affect results from sentiment analysis.
Contributions:33 commits, 2 PRs, 20 pushes in 3 years
ageironycatholichas-contentcatholic-church
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