Carnegie Mellon University⌗

M.S. Electrical and Computer Engineering • May 2020 - May 2021

  • Low Power code for IOT: Theory behind designing software (especially RTOS) to take advantage of “dark silicon” on embedded hardware to minimize energy use, thereby maximizing battery life.
  • Speech Recognition and Understanding: Study how speech recognition systems model human speech using HMM+GMM, HMM+DNN, and end-to-end models. Implement simple HMM+GMM word recognizer and Listen, Attend, Spell (LAS) speech recognizer.
  • Machine Learning for Signal Processing: Theory behind how machine learning can be applied to signal processing applications. Investigation of data driven signal processing approaches and parallels with machine learning techniques.
  • Image and Video Processing: Theory and implementation of many popular image processing methods with particular emphasis on sparse approximations and linear inverse problems
  • Machine Learning: Theory and implementation of various supervised and unsupervised machine learning algorithms.

California Polytechnic State University⌗

B.S. Computer Engineering • Sep 2016 - Jun 2020

  • Computer Architecture: Introductory computer architecture, ARM RISC instruction set, computing pipelines
  • Implementation of Operating Systems: Implemented x86-64 operating system kernel from scratch
  • Real Time Embedded Systems: Theory of SIMD and parallelized processing in embedded systems with implementation of parallelized processing on Digilent Zybo using ARM Linux and FPGA co-processor
  • Computer Networks: Introductory computer networking covering OSI model, 802.3, TCP/IP, UDP, network switching/routing, and basic network security on Cisco appliances
  • Capstone Project: Intelligent Sensing and Navigation System for NGCP (Northrop Grumman Collaboration Project) Unmanned Ground Vehicle
  • Computer Vision: Introductory course on computer vision algorithms and their theory of operation building on simple operations like edge detection to full feature detection with modern algorithms like SIFT/SURF and neural networks
  • Senior Project - To be published