Nikola Maruszewski is a Machine Learning Developer and PhD student at Georgia Tech focused on low-power, batteryless edge systems that bridge computer systems and embedded ML. He brings five years of experience across research and industry, including work on data processing platforms at CAT Robotics and quantum circuit optimization during undergraduate research at Northwestern. Nikola holds a BS in Computer Science and an MS in Computer Engineering (both with perfect GPAs) and now researches energy-efficient sensing and compute in the Ka Moamoa lab under Prof. Josiah Hester. His background spans practical production systems and cutting-edge academic work, from building data pipelines for autonomy to designing compilers for emerging quantum topologies. Known for blending hands-on engineering with rigorous research, he has a track record of translating theoretical ideas into deployable software for constrained devices. Based in Atlanta, he aims to create impactful, low-power devices that make technology accessible and sustainable.
5 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Georgia Institute of Technology
High School Diploma, 4.87, High School Diploma, 4.87 at Roycemore School
Master of Science - MS, Computer Engineering, 4.00/4.00, Master of Science - MS, Computer Engineering, 4.00/4.00 at Northwestern University
Contributions:1 release, 5 PRs, 40 pushes in 1 year 3 months
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Nikola Maruszewski - Machine Learning Developer at Caterpillar Inc.