Rahul Arya Email & Phone Number

California, United States

London, London, GB

- TPU compiler team- Gemini pretraining

Berkeley, CA, US

I conduct research into control theory under the supervision of Prof. Gireeja Ranade, working on problems related to learning linear control systems using random low-dimensional projections. In doing so, we hope to develop techniques to learn and stabilize unstable high-dimensional linear systems despite initially knowing nothing about the system or the.

Berkeley, CA, US

I am a content TA for CS 189/289, an upper-division undergraduate / introductory graduate course on machine learning. I design homework and exam problems and teach a weekly discussion section.

Berkeley, CA, US

I am the head of software development for CS 61A, an introductory programming course, developing software for CS 61A and other EECS courses at Berkeley and other universities. These tools include exam.cs61a.org, a tool used to run exams for many EECS courses at Berkeley and oh.cs61a.org, used to host drop-in and appointment-based online office hours for.

- Developed various features to boost engagement for the Facebook Groups project across platforms, working on both mobile and backend logic- Optimized mobile performance on low/mid-end devices, working using C++

I developed large parts of the redesigned Facebook Coding Competitions website (facebook.com/codingcompetitions) and associated internal tools, working on both the UI and server-side logic. I also designed and implemented plagiarism-detection logic as a reusable C++ service usable by other teams. I worked using C++, JavaScript, and Hack (a PHP derivative).

Berkeley, CA, US

I run small-group discussion sections and develop software to assist with course grading, debugging, and administration for CS 61A, an introductory course covering Python, Scheme, and SQL. In Spring 2019, I received the “Outstanding AI Award,” awarded to the top 4 out of over 200 academic interns in CS 61A.

HK

• I led the development of mobile and web apps for both Android and iOS devices to aid high school students in accessing student rosters, class schedules, homework assignments, and bulletin notifications. In addition to.
• Technologies used: Python, JavaScript, Java (on Android) and Objective-C (on iOS)

Kowloon, Hong Kong, HK

I implemented various machine learning models, such as deep Q-learning, to be applied to the problem of pairs trading within financial engineering. The primary language I worked with was Python, using the TensorFlow, Keras, and NumPy packages.

Developed a mobile app and the accompanying server-side functionality to scan and categorize inventory using QR codes, avoiding the use of expensive dedicated QR scanner units.Technologies used: Java, PHP, JavaScript, SQL