Open to opportunities

Adam Deedman

@adamdeedman

Message

Creative and technology focused AI Engineer and Audio Expert. Particularly interested in AI/ML for Audio and Music.

United Kingdom

Message

What I'm looking for

I seek AI/ML or data science roles focused on audio/music that combine research and product engineering within collaborative, growth-oriented teams.

Experienced AI engineer (audio specialist), with skills in training, deploying models and coding. Also experienced in audio engineering and live recording. Skills include:

Building, optimising and deploying AI and ML models using libraries including PyTorch and TensorFlow
Programming in Python, MATLAB, with knowledge of C++ and C
Cloud computing (Microsoft Azure, Google Cloud), with particular skills in deploying and scaling AI models
LLMs: Fine-tuning, prompt-engineering, function calls, deploying within back-end pipelines
Utlising generative AI models for Music/Audio generation, such as GAN’s, VAE’s and Diffusion Models
Processing and analysis of Big Data using tools such as Spark and Hadoop MapReduce within AWS
framework
Audio data analysis and DSP including use of libraries such as Librosa and Essentia

Experience

Work history, roles, and key accomplishments

Current

Junior AI Engineer

Current

SymphoMe

Sep 2024 - Present (1 year)

Deploying and scaling custom audio/music AI models using Azure ML for iOS/Android integration, contributed core Python audio-processing algorithms and led research tasks while designing LLM prompts and function-call pipelines.

PyTorch TensorFlow Python Prompt Engineering

Visiting Demonstrator

Birmingham City University

Feb 2023 - Jun 2023 (4 months)

Supported BSc Music Technology and Sound Engineering students in building audio filters, convolution reverbs and synthesis models in MATLAB and advised on DSP and audio data processing for coursework.

Matlab Teaching Convolution Reverb Synthesis Signal Processing

Studio & Audio Intern

Premier Business Audio

Jul 2021 - Jul 2022 (1 year)

Edited, mixed and produced commercial speech and TTS content for clients including Apple and Sony, managed remote recording sessions with voice artists and led a DSP research project on companding algorithms.

Audio Editing Mixing TTS DSPs Audio Production Companding Algorithms Telecommunications

Education

Degrees, certifications, and relevant coursework

Queen Mary University of London

Master of Science, Sound and Music Computing

2023 - 2024

Grade: Distinction

MSc Sound and Music Computing with Distinction, specialising in AI and Music Data Science including deep learning for audio, machine learning, and big data processing.