Xindi Wang
Applied Scientist II at Fidelity Investments
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolXindi Wang is an Applied Scientist II with a Ph.D. in Network Science and eight years of experience applying ML, NLP, and graph methods to personalization and entity resolution at Amazon Alexa and recommendation systems at Fidelity. She has led production-focused projects that improved Alexa entity resolution accuracy by ~5% and dramatically boosted robustness to ASR errors on high-traffic use cases, and earlier prototyped rankers that yielded ~10% gains. Trained under Barabási and Eliassi-Rad, her background blends computational social science and network modeling with practical large-scale experimentation and A/B testing. Based in Toronto, she pairs deep academic rigor with hands-on deployment experience across voice, search, and recommendation domains, and often leverages graph-based data augmentation to solve upstream noise and ambiguity.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Network Science, Doctor of Philosophy (Ph.D.) Network Science at Northeastern UniversityBachelor of Engineering (B.E.) Information Science and Technology; Computer Science, Bachelor of Engineering (B.E.) Information Science and Technology; Computer Science at University of Electronic Science and Technology of China
Github Skills (43)
macos-big-sur8
touchbar8
menu8
macbook-pro8
ternary8
scripting7
menubar7
css7
triangle7
reboot6
statusbar6
gnuplot6
svg5
bitbar5
python5
Programming languages (5)
Github contributions (5)
albuspensieve/albuspensieve.github.io
Oct 2018 - Mar 2025
Contributions:16 PRs, 257 pushes, 4 branches in 6 years 6 months
xindi-dumbledore/xindi-dumbledore.github.io
Apr 2018 - Sep 2023
Contributions:9 pushes, 1 branch in 5 years 5 months
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