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Daniel HandersonDH

Daniel Handerson

Senior Software Engineer

€350/day
Eastpointe, US
8-15 years

Average response time: 1 hour

About Daniel

Senior Software Engineer with 9+ years of experience building production-grade multimedia applications across audio and video domains. Specialized in C++, Rust and Python with deep experience in real-time audio/video processing and cross-platform desktop systems. Proven ability to transform MVPs into scalable, high-performance products for media, streaming, and audio technology companies.
Analytical problem-solver with a track record of delivering complex systems under tight timelines.
  • English

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • KRISP, INC
    Senior Software Engineer
    January 2022 - January 2025 (3 years)
    • • Designed and developed a scalable AI backend platform for real-time noise cancellation, where audio streams were processed and enhanced using cloud-based AI models on AWS.
    • • Built FastAPI-based backend services to handle low-latency audio ingestion, preprocessing, inference orchestration, and streaming responses to client applications.
    • • Implemented real-time audio streaming pipelines between desktop/mobile clients and backend AI services using TCP/UDP, WebSockets, and custom socket-level protocols to meet strict latency requirements.
    • • Integrated backend AI services with client-side SDKs to enable seamless noise suppression, echo cancellation, and voice isolation using AI models.
    • • Executed performance-critical audio processing logic in C/C++, optimizing CPU utilization, memory footprint, and end-to-end latency for live communication scenarios on client side.
    • • Designed asynchronous and parallel processing architectures (async I/O, worker pools, batching) to scale AI inference workloads while maintaining audio quality and stability.
    FastAPI artificial intelligence C++ External API integration Amazon Web Services
  • Soundminer, Inc
    Software Engineer
    January 2021 - January 2022 (1 year)
    • • Developed desktop audio manipulation tools enabling non-destructive trimming, looping, normalization, channel mapping, and sample-accurate editing for professional sound libraries.
    • • Implemented high-performance audio file import/export pipelines supporting WAV, AIFF, FLAC, and CAF formats, including batch conversion and sample-rate/bit-depth processing.
    • • Built timeline-based waveform visualization components with zoom, region selection, and marker support to enable fast auditioning and precise sound editing.
    • • Designed and applied metadata-driven workflows allowing users to tag, reorganize, and restructure large sound libraries while preserving embedded audio metadata.
    • • Improved background indexing and caching systems to handle very large audio collections efficiently without blocking UI operations.
    • • Integrated external DAW workflows by implementing drag-and-drop, hot-key triggers, and direct export pipelines to Pro Tools, Logic Pro, and other industry tools.
    • • Optimized file I/O, memory usage, and threading models for audio-heavy desktop applications on macOS and Windows.
    • • Participated in full software development lifecycle activities including feature design, implementation, refactoring, and long-term maintainability improvements.
    C++ Batch Processing Database Management (e.g., SQL, NoSQL) Python
  • DELUXE MEDIA, INC
    Software Engineer
    January 2015 - January 2020 (5 years)
    • • Enhanced automation frameworks and custom tooling for OTT video-streaming and TV platform applications using Python and C/C++, reducing manual QA effort and accelerating release cycles.
    • • Built and enhanced backend services with Django to support content ingestion, media validation, metadata processing, WebRTC signaling and API integrations across streaming workflows.
    • • Developed scripts and services to validate transcoding outputs, real-time and on-demand streaming pipelines, DRM packaging, and adaptive bitrate streaming formats (HLS/DASH) across multiple devices based on Django based backend system.
    • • Implemented end-to-end streaming workflow solutions in collaboration with platform engineers, covering content upload, encoding, packaging, delivery, and playback.
    • • Created performance and load-testing utilities using HP LoadRunner and custom scripts to simulate high-concurrency streaming scenarios and analyze CDN behavior.
    • • Developed data validation and processing logic for media metadata, manifests, and APIs using JSON, XML, and text formats with PostgreSQL on Linux and Windows environments.
    • • Actively contributed to Agile development practices, participating in sprint planning, design reviews, code reviews, and CI/CD pipelines on docker to deliver scalable TV and streaming platform solutions.
    Django PostgreSQL live streaming WebRTC

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Education

  • M.S. in Computer Science
    Osaka University
    2014
    M.S. in Computer Science

Skill set

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