Aswin Sivaraman

Education

Skills

Programming
  • Python
  • C
  • C++
  • MATLAB
  • Perl
Libraries
  • PyTorch
  • Tensorflow
  • Keras
  • Redis
  • AWS DynamoDB
  • Alexa Skills Kit
Web
  • HTML
  • CSS
  • JavaScript
  • PHP
  • Angular
  • jQuery
  • Node
  • Express
  • RESTful
  • SQL
  • NoSQL
  • MongoDB
  • Bootstrap
  • Foundation
  • Wordpress

Summary

Aswin is a second-year PhD student working under Prof. Minje Kim. He is interested in machine learning applications to music and speech processing, addressing tasks like noise reduction, dereverberation, style transfer, transcription, and diarization.

Work Experience

Spotify

Research Scientist Intern

Designed a neural network model which leverages user listening data to identify advertisements within podcasts using only acoustic features

Amazon

Applied Scientist Intern

Implemented a multi-resolution convolutional neural network to generalize audio feature extraction for the Alexa automatic speech recognition (ASR) acoustic modelling team

Qualcomm

Embedded Software Engineer

Developed and supported Diagnostic Services scripts for multiple Snapdragon chipsets, handling change requests from customers and internal engineers

University of Illinois at Urbana-Chamapaign

Teaching Assistant

Helped to create web development course CS498RK (Art of Web Programming) taught by Prof. Ranjitha Kumar by designing lectures, programming assignments, and exams from scratch for over 100 students

Projects

Mappr

Script which generates a travel summmary video using Matplotlib

Onboard

Webapp for intelligently pairing interns with best-fit technical teams using similarity metrics between student profiles and project requirements

Scrobbylr

Script which fingerprints and logs music played on turntable in real-time

Publications

A full list of publications and pre-prints are available on Google Scholar.