Claire Siroky is a data scientist with 11 years of technical experience who blends mechanical engineering roots with advanced AI/ML research from UT Austin. Currently at TDI Technologies, she applies cross-disciplinary skills—from SolidWorks-driven hardware prototyping to machine learning models—to tackle product and R&D challenges. Her academic background includes an MS in Computer Science focused on AI/ML and a BS in Mechanical Engineering, and she has hands-on research experience as a graduate research assistant. Claire has a track record mentoring and engaging diverse audiences as an Engineering Ambassador and brings practical lab-to-production sensibilities from internships in entertainment hardware design. Based in Philadelphia, she leverages a Lewis-Sigler-affiliated genomics pedigree and an interdisciplinary mindset to bridge data-driven insights with engineered systems. Colleagues describe her as a pragmatic problem-solver who turns academic ideas into tangible prototypes and measurable outcomes.
11 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science with concentration in Artificial Intelligence and Machine Learning, Master of Science - MS, Computer Science with concentration in Artificial Intelligence and Machine Learning at The University of Texas at Austin
Bachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at Cockrell School of Engineering, The University of Texas at Austin
Contributions:6 commits, 5 pushes, 1 branch in 2 years 4 months
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