Amazon Smart Vehicles — Devices

• Lead problem-solving sections, hold 1-on-1 feedback sessions, host office hours, and grade assignments and exams for Stanford's CS106A (Programming Methodology) and CS106B (Programming Abstractions), taught in Python and C++• Selected to train newly-hired section leaders on effective teaching techniques; strategies to encourage diversity, equity,and inclusion in section; and methods to increase student engagement• Conduct section visits to evaluate and give constructive feedback to new and veteran section-leaders

• Analyze single-cell RNA data in Python and R to compare expression of genes related to cardiac electrical conduction in ex vivo mice, human-induced pluripotent stem cells (hiPSCs), and ex vivo humans• Implemented data preprocessing steps, including filtering out low-quality data, normalization, and quality control• Applied dimensional reduction to reveal underlying patterns underlying gene expression data• Employed clustering algorithms to assign identities to individual cell clusters, and identified shared gene markers to highlight key genes in the cardiac conduction system

• Implemented a novel analysis strategy with C++ and Python for the production of two simultaneous Higgs Bosonsat the Large Hadron Collider• Used Python to identify shortcomings of existing approach, debug initial implementation, and validate results• Improved signal resolution by 2.4% over previous optimizations by implementing the strategy in C++• Wrote reports for the ATLAS project’s internal documentation and presented findings at CERN and SLAC meetings

1-on-1 mathematics tutoring with kids from kindergarten to 9th grade, ranging in subjects from counting to algebra and geometry. Effectively transitioned from in-person to remote synchronous teaching after COVID-19