cv

Masters

Cornell University, Cornell Tech

Electrical and Computer Engineering

• ML Engineering
• ML Hardware
• Natural Language Processing
• Digital Signal Processing
• Virtual Reality
• Robot Perception

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

Software Development Engineer - AI

Amazon Web Services

• SDE at AWS Bedrock Evaluation. My team builds tools to evaluate the performance of our foundation models (i.e. Claude, LLAMA, Titan) within our customers use cases. These include programmatic, human based, model as a judge, and knowledge base/RAG evaluations.

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

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

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

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

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