Lukass Kellijs is an undergraduate researcher at Yale University specializing in applying theoretical and computational methods—particularly physical modeling and machine learning—to engineering problems. He currently develops ML-driven inverse design tools for optical systems at the Logan Wright Applied Physics Lab and has explored physics-informed losses for neural operator models during a research internship at ETH Zürich. With a 3.99 GPA in Engineering/Applied Physics and a decade of practical experience spanning high-power rocketry avionics to CubeSat and liquid propulsion projects, he blends rigorous theory with hands-on systems engineering. He also channels his interest in STEM education and outreach through leadership roles in the Yale Undergraduate Aerospace Association. Comfortable at the intersection of simulation, data-driven modeling, and hardware, he seeks opportunities that bridge computational research with real-world aerospace and green-tech applications. An uncommon strength is his track record of translating advanced ML concepts into experimental lab workflows that inform physical design decisions.
10 years of coding experience
4 years of employment as a software developer
High School Diploma, High School Diploma at Engineering High School (EHS) of Riga Technical University
Bachelor of Science - BS, Engineering Physics/Applied Physics, (GPA: 3.99), Bachelor of Science - BS, Engineering Physics/Applied Physics, (GPA: 3.99) at Yale University
Visualization Library is a C++ middleware for high-performance 2D and 3D graphics applications based on OpenGL 1.x-4.x supporting Windows, Linux and Mac OS X.
Contributions:2 pushes, 44 branches in 5 years 11 months
Contributions:1 push, 302 branches in 4 years 5 months
cppcpp17
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.