Aaron Abebe

I investigate the liminal spaces where artificial intelligence intersects with audio creation. Through a methodical yet intuitive approach, I develop systems that challenge our understanding of creativity and technology. Drawing from a background in software engineering, machine learning and a deep engagement with music, I create software that is both technically rigorous and aesthetically considered.

My work often involves collaborating with startups and forward-thinking companies in the realm of AI-driven audio technologies. I find joy in helping bring innovative ideas to life, whether it's enhancing existing products with a touch of machine learning magic or dreaming up entirely new audio experiences.

Let's Connect

I'm always excited to connect with fellow enthusiasts, creators, and innovators in this space. If you're curious about the intersection of AI and audio, or if you just want to chat about the latest in tech or music, feel free to reach out.

Latest posts
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Work Experience
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  • May2024 - Jul2024
    mytalents GmbH
    Founding ML Engineer

    First ML hire for fast-growing Austrian AI upskilling startup (500K ARR in the first year). Led development for their AI course creation project and shipped first version for beta users in two months.

  • Jun2023 - Apr2024
    okio Inc.
    Founding ML Engineer/ML Lead

    Early hire for VC funded audio ML startup, led by OSS Capital. Led prototype product development for ML-based audio tools. Spearheaded training and fine-tuning projects for music generation models. One of two main Python developers for nendo, the open-source AI audio tool suite. Developed scalable backend and infrastructure for serving music generation models on GKE on an 8xA100 cluster for >5000 beta users.

  • Oct2022 - May2023
    sea.ai
    Research Engineer

    Conducted research project in cooperation between TU Vienna and sea.ai. Implemented a self-supervised learning approach for robust IR feature extraction. Developed PyTorch-based training, evaluation, and visualization pipelines for dataset of >2M LWIR images. Reduced company’s object detection system FP rate by 80%.

  • Feb2020 - Aug2022
    zackplan.com
    Co-Founder/CTO

    Led development of technologies to visualize and automatically process floor plans using ML methods. Designed and implemented processing pipeline supporting customer growth to 50K EUR MRR. Set up and maintained infrastructure for training segmentation models. Implemented graphics pipeline for automating visualizations using Blender, enabling processing of up to 1500 floor plans per month. Managed operations of a 6-person engineering team.

  • Aug2018 - Feb2021
    Raiffeisen Software GmbH
    Software Developer (Backend)

    Developed backend JavaEE apps running on internal OpenShift cluster and handled REST-API governance. Led development of JMeter-driven test automation for REST-APIs, reducing test execution time by 150% and improving test coverage. Developed and integrated an OpenAPI generator into the company-wide internal Java framework, increasing development speed for new services by 30% and improving API documentation quality.

Recent projects
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