01
Competitive Deep RL Autonomous Drone Racer
PPO reinforcement learning, MPC, and autonomous drone racing.
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Arunaabha Yadavalli.
Senior studying EECS and Mech Eng at University of California, Berkeley. I am interested in robotics, backend development, and AI. Currently learning how to write GPU kernels for Machine Learning.
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01 / Selected work
Projects
02
MapReduce
Distributed MapReduce in Rust and gRPC with fault-tolerant workers.
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03
Pintos Operating System
Threads, scheduling, system calls, caching, and an extensible file system.
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04
Sports Pulse
Android sports-news app built with Kotlin and Jetpack Compose.
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05
BropDoX
Secure Go file-sharing application using hybrid encryption.
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06
GripAAAA
ROS2 robot for autonomous cube detection, grasping, and delivery.
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02 / Toolkit
Skills
PythonC / C++Rust
GoJavaKotlin
PyTorchTensorFlowJAX
AWSDockerKubernetes
KafkaSparkSQL
ROS2MuJoCoIsaac Sim
OpenCVReactGit
03 / Contact
Linkedin.com/in/arunaabhay github.com/arunaway2