Arjun Arora Email & Phone Number

Mountain View, Ca, Us

San Francisco, California, Us

Palo Alto, Ca, Us

Stanford, Ca, Us

■ Worked on distributed, highly-scalable ray-tracing system based off of Amazon lambda networks■ Primary contribution was building a terrain scene generator to generate 500 GB+ hill terrain scenes withcharacter models scattered on slopes in a procedural manner■ Other contributions include creating a scalable rendering of BVH structures for treelet distributionanalysis and experimentation

Santa Clara, Ca, Us

Worked on verification on machine learning compiler(s), including code coverage, bug testing, and package verification

Stanford, Ca, Us

Advised by Prof. Maneesh Agrawala, worked on and developed systems to help beginning dancers learn choreography more easily. Systems included CNN based pose estimation systems (i.e. Openpose) as well as state of the art spatial and time warping techniques. Primary goal of this project was to help produce useful tools that can help amateur dancers learn the correct techniques and methods to become better dancers

Worked on Mixed Signal Processing project for machine learning classifier. Created analog modules for preprocessing for the algorithm. Experimentally calculated Floating Point Operation of Digital feature extraction filter algorithm used on cochlear inputs (sub-band envelope extraction, cross correlation, etc).Developed modules and overall circuit architecture of the analog equivalent of this feature extraction algorithm. Developed time multiplexing architecture to reduce the number of components needed in experimental build of circuit by an order of magnitude (from 640 to 52). Collaborated with research team on all designs and full hardware implementation. Advised the team implementing the FPGA algorithm regularly due to experience in Verilog and HDL (credited on poster). Worked under Prof. Murmann and Dan Villamizar

Worked with the Microsoft Kinect2 platform to develop a replacement for the RPM sensor currently used in breath hold radiology treatments. The device will potentially have around a factor of 10 times the accuracy of the current sensor (which provides only a single point of depth) compared to the Kinect2's 424 * 512 depth field. Applications include better radiotherapy, better imaging for 4DCT construction, and gamification of patient seated in radiotherapy couches. Worked under Dr. Michael Gensheimer and Dr. Gregory James King

Paris, Île-De-France, Fr

Worked in data analysis of Vélib, the premier bike sharing system in the entire world, located in Paris. Area of focus was to determine and qualify what sort of strain (i.e. increased usage/more users) the bike sharing system could potentially take before the system would be completely inoperable. Spent much of my time researching other bike sharing systems to provide potential resources to solve the inflow problem of bikes leaving the outer parts of Paris and congregating to the center. Also did experimentation on big data sets to see whether best of two choices system would improve overall traffic flow. Worked under Prof. Yousra Chabchoub.

Master'S Degree, Electrical And Electronics Engineering

Bachelor’S Degree, Electrical And Electronics Engineering