Über Daniel
Englisch
Muttersprachlich oder zweisprachig
Projekt- und Berufserfahrung
- KRISP, INCSenior Software EngineerJanuar 2022 - Januar 2025 (3 Jahre)• • 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.
- Soundminer, IncSoftware EngineerJanuar 2021 - Januar 2022 (1 Jahr)• • 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.
- DELUXE MEDIA, INCSoftware EngineerJanuar 2015 - Januar 2020 (5 Jahre)• • 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.
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Ausbildung und Abschlüsse
- M.S. in Computer ScienceOsaka University2014M.S. in Computer Science