Sarah Ciresi
Applied Machine Learning Engineer at Apple
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolSarah Ciresi is an Applied Machine Learning Engineer with nine years of experience building ML solutions at the intersection of energy technology and sustainability, currently applying that expertise at Apple in Seattle. She combines a strong quantitative foundation—dual BS studies in Mathematics and Computer Science—with an MS in Computer Science focused on AI from Stanford to move research ideas into production. Her background includes machine learning roles at Atlas AI and a software engineering internship at Microsoft, plus academic research and teaching positions that sharpened her modeling and mentoring skills. Known for tackling domain-specific problems in sustainable systems, she brings both applied engineering rigor and academic depth to complex, real-world datasets.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Specialization: Artificial Intelligence, Master of Science - MS, Computer Science, Specialization: Artificial Intelligence at Stanford UniversityBachelor of Science (B.S.), Mathematics and Computer Science, Bachelor of Science (B.S.), Mathematics and Computer Science at Georgetown UniversityBachelor of Science (B.S.), Mathematics, Bachelor of Science (B.S.), Mathematics at Boston University
English
Github Skills (10)
circles7
polygons6
clipper6
bezier6
boolean5
polyhedra5
geometry3
geometric-algorithms2
mental-health2
health2
Programming languages (3)
Github contributions (5)
sciresi/cs325b-airquality
Nov 2019 - Jun 2020
Contributions:17 pushes in 6 months
sciresi/calendar
Aug 2018 - May 2019
Contributions:8 pushes, 1 branch in 9 months
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