Summary
Rachel Lu is a software engineer and MIT undergrad specializing in computer science and artificial intelligence, currently on the engineering team at Microsoft. She brings eight years of hands-on experience spanning robotics research at CSAIL—where she programmed a Franka Emika arm, implemented RRT-based motion planners, and applied impedance control and TAMP—to applied ML and tooling at NASA Ames for scene text recognition across large panoramic datasets. Comfortable in Python, Git, and foundational C/Java, Rachel has also taught and mentored young programmers and supported MIT’s 6.102 course as a LA and TA, blending pedagogy with production coding. Her work sits at the intersection of perception, planning, and software construction, with a knack for turning research prototypes into usable interfaces like interactive Jupyter search tools. Based in New York, she combines academic rigor with industry impact and a demonstrated ability to navigate both low-level robotics control and higher-level AI systems.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Massachusetts Institute of Technology
Advanced Regents Diploma, Advanced Regents Diploma at The Bronx High School of Science
English, Chinese