Search and core infrastructure

Improving security by supporting https for all Repls by default.Driving efficiency improvements with resource montoring infra for all Repls

Creating a new platform for collaboration and virtual learning for the architecture department. Designed and implemented the interface and system for sharing and experiencing 3D architecture models.

Leading the VR education team for XR@B's virtual reality development course. Dedicated to teaching the next generation of VR/AR developers. Managing the development of new mobile AR based course material and adapting the VR Decal for remote instruction due to COVID19. Working with faculty to develop content for graduate course (CS 294 Immersive Computing and Virtual Reality)

I taught the next generation of virtual reality developers as an instructor for VR@B’s student led virtual reality development course. Students learn practical Unity skills using the Oculus Rift and Oculus SDK.

Researcher for the Immersive Semi-Autonomous Aerial Command System (ISAACS) project.Developed the Virtual Reality interface and ROS infrastructure used to remotely pilot drones.Co-author of paper accepted to 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference and published in IEEE Transactions on Nuclear Science.

I pioneered an Augmented Reality Data Visualization tool for damage and tamper detection of packages in the warehouse and factory environment. Along with creating intuitive UI, I developed a backend damage detection service that uses SICK's data to provide new insights on package integrity across multiple locations. My project integrates SICK’s logistics analytics service with the Android augmented reality platform.

Sculpt-ML is a project aimed at developing an augmented reality mobile app to create machine learning models quickly and interactively. It is poised to be an educational tool for teaching computer science. I led back-end development for the necessary infrastructure to create sound machine learning models using Keras and Tensorflow.

I provided technical support to all student affairs staff on the UC Berkeley campus. My team supported the desktops, laptops, printers, and iPads used by departments such as the Financial Aid and Scholarship Office, Career Center, Administration, Communications, and many more.

2018: I investigated sideband detection methods for Self-amplified spontaneous emission free-electron laser (SASE FEL), developed software model for thin crystal spectrometer, and furthered development of AI assisted diagnosis of Alzheimer’s.2016: I produced research about the automated early stage diagnosis of Alzheimer’s with machine learning and image processing. I also worked with neurologists and physicians from the Alzheimer’s Association.2015: I conducted research on artificial intelligence optimization for an X-Ray free electron laser and gained experience developing neural nets built with the PyBrain AI library. Co-authored paper published in Nuclear Instruments & Methods.

Lab Assistant for CS 61A (Structure and Interpretation of Computer Programs)I worked with students and guided them through lab assignments and exercises for the class. I worked closely with course staff to provide an effective learning environment for the students.

I provided technical support to teachers and students across campus,diagnosed issues with iPads, projectors, phones, laptops, and desktops, andworked with team of students to run iPad orientations and setup services for incoming students and families