cv

Basics

Name Aidan Singh
Label Software Engineer
Email aas386@cornell.edu
Url https://aidanasingh.github.io
Summary I'm a programmer with a passion for data driven processes and audio

Education

  • 2023.09 - 2024.05

    New York, New York

    Masters
    Cornell University, Cornell Tech
    Electrical and Computer Engineering
    • ML Engineering
    • ML Hardware
    • Natural Language Processing
    • Digital Signal Processing
    • Virtual Reality
    • Robot Perception
  • 2019.09 - 2023.05

    New York, New York

    Bachelors
    New York University
    Computer Science, Music Technology double major
    • Machine Learning
    • Linear Algebra
    • Data Structures
    • Algorithms
    • Computer Systems Organization
    • Data Management and Analysis
    • Operating Systems
    • 3D Audio
    • Audio Streaming Technology
    • Digital Signal Processing
    • Calculus 1, 2

Work

  • 2024.01 - 2024.05
    AI Audio Scientist
    TulipAI
    • Conducted literature review for audio generation and fine tuning, designed fine-tuning method for Meta’s audio-craft models
    • Authored Python and Shell scripts to download audio from the library of congress (archive.org api)
    • Designed coding and data collection tasks for undergrad interns, exercised asynchronous communication & technical reviews
  • 2022.06 - 2022.08
    Data Engineering Intern
    Universal Music Group
    • Programmed a production incremental data pipeline (ETL) to ingest music streaming metrics from Meta
    • Performed detailed analysis on Google Cloud Platform (GCP) Storage to identify potential optimizations saving $100k/year
    • Collaborated effectively with another intern and engineering team using data lake exceeding 10 Petabytes
    • Utilized cloud-based technologies for data: data pipelines, data architecture, data governance (security), internal applications
  • 2021.11 - 2022.05
    Undergraduate Researcher (REU)
    NYU Music and Audio Research Lab
    • Contributed to micarraylib, an open-source Python library for audio data aggregation in machine learning pipelines
    • Translated audio algorithms from ambisonic encoder ‘Array2SH’ from C/C++ to Python with unit testing
    • Participated in National Science Foundation REU Program, advised by Iran R. Roman under Juan P. Bello
  • 2021.05 - 2021.07
    Audio Engineer
    Alan Silverman
    • Used digital audio tools to modify recordings’ pitch and timing for Grammy winning folk artist Judy Collins
    • Edited audio files (piano stems) in 8 songs, splicing and compiling multiple files with creative discretion
    • Collaborated with 80+ time Grammy nominated and winning audio engineer Alan Silverman
  • 2020.08 - 2021.02
    Audio Engineering Intern
    Old Mill Road Recording
    • Operated analog and digital audio equipment with a focus on signal flow for recording and outboard-processing
    • Prepared microphones for drums, piano, and guitar. Set rack equipment and recall sheets
    • Assisted Grammy award winning audio engineer Ben Arrindell, credited on Emmy winner Lillias White’s first studio album

Certificates

Safe Zone
Cornell University 2024
CPR & AED
American Red Cross 2018

Skills

Coding Languages
Python
SQL
Java SE
C#
C
C++
x86 Assembly
Matlab
CUDA
Software
PyTorch
SciKit-Learn
Pandas
Docker
Google Cloud Platform
Github
BigQuery
Apache Airflow
Unity
Audio
Digital Filtering
Music Information Retrieval
Frequency Domain Processing
Ambisonics
Compression & Streaming
Head related transfer functions
Vector based amplitude panning

Languages

English
Native speaker
Punjabi
Classroom Study
Spanish
Classroom Study