Research
Large Language Model Alignment: Researching methods on ensuring responses generated by Large Language Models adhere to societal values.
Communicating Classification Results over Noisy Channels: Characterized tradeoff between latency and distortion for transmitting the results of a classifier using finite blocklength theory and uniform/lattice-based quantization.
Cell-Free Networks: Used deep learning to determine how message from a user should be decoded across access points (APs) to minimize the maximum total latency of the cell-free network.
High Frequency Communications: Researched how adaptive equalization and reinforcement learning algorithms can be used to improve transmissions made over the high frequency (HF) Band.
Employment
Wireless Engineer Intern Qualcomm May 2023 - Aug 2023 - Analyzed effects of different signal/channel attributes on simulated uplink 5G waveforms
- Gained experience with 5G standards and understanding characteristics of uplink 5G waveforms.
Software Engineer Intern Garmin May 2017 - Aug 2017 - Prototyped interface between UWB transceiver and Arduino/Teensy Microcontrollers for performance evaluation.
- Developed a GUI using MySQL and Python that extracts data stored in servers and present analysis in real-time.
Software Engineer Intern Garmin May 2016 - Jul 2016 - Programmed teensy microcontroller in C with Arduino IDE to interface with a touch screen to control vibrations of systems used for testing hardware.
Software Engineer Intern Photometrics Jun 2015 – Aug 2015 - Acquired conceptual knowledge of image processing and parallel processing algorithms.
- Debugged and analyzed image processing algorithms, using C, C++, Matlab, and CUDA.