cv
Basics
Name | Aidan Singh |
Label | Software Engineer |
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
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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 |
Deep Learning for Music Information Retrieval | ||
Stanford University | 2022 |
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 |