Jackie Harris is a Senior Software Engineer with 11 years of experience building high-performance backend systems and production machine learning services, currently based in Austin, Texas. She has shipped low-latency real-time audio products and voice conversion services as the primary developer at Koe AI and implemented scalable ML inference backends at Deepgram using Rust, Python, and Axum. Her background includes GPU architecture work at NVIDIA and complex C++/C# desktop and robotics integration for medical manufacturing at ClearCorrect, giving her rare depth across systems, hardware-adjacent simulation, and cloud services. At Deepgram she focused on ASR and TTS inference pipelines and observability, and she now applies that experience to backend development at Loman AI. Jackie’s early research at Carnegie Mellon on automated firmware analysis reveals a persistent interest in tooling and security automation beyond product features. Colleagues describe her as someone who comfortably moves between low-level C++ systems and modern ML service stacks, owning features end-to-end from design through deployment.
11 years of coding experience
9 years of employment as a software developer
Thomas Jefferson High School for Science and Technology
Bachelor of Science - BS Electrical and Computer Engineering, Bachelor of Science - BS Electrical and Computer Engineering at Carnegie Mellon University
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