Audia & audia-tap
A macOS menu-bar app for real-time, per-app audio routing — and an OSS CLI that pipes raw PCM straight into local AI models.
- <10ms
- End-to-end latency
- 30–40%
- CPU overhead cut
- 0 (driver-free)
- Driver install
Hattiesburg, MS · open to 2026–2027 roles
I build across the stack, down to the metal, and into ML. CS student at the University of Southern Mississippi. I like hard problems — real-time audio at the kernel boundary, ML retrieval systems, and clean full-stack products. I ship things because I want them to exist.
Selected work
A flagship systems project, plus ML work I'm proud of. Full list with filters on the projects page.
A macOS menu-bar app for real-time, per-app audio routing — and an OSS CLI that pipes raw PCM straight into local AI models.
A gamified “sing-to-search” engine: hum a tune, get percentage-scored matches against a MIDI corpus.
A scalable pipeline benchmarking RF, XGBoost, and TF-SVM models for network intrusion detection.
Experience
I've shipped production software, mentored peers, and built tools people use.
Audia & audia-tap
Notes-Ninja
Budhanilkantha School (Nepal)
Google Developer Club (USM)
Toolbox
Comfortable from the metal up to the browser — and increasingly into ML.
B.S. Computer Science, University of Southern Mississippi
GPA 3.86 / 4.00 · Expected Dec 2027 · Hattiesburg, MS
Writing
Weekly notes on what I build and what I learn. Intros go up on LinkedIn — full posts live here.
A deep dive into bypassing macOS kernel space constraints to capture process-isolated audio streams and programmatically execute real-time Biquad filtering.
An architectural exploration of using GBNF context grammars to compel local language models to emit compact, native register instructions instead of volatile JSON payloads.
Get in touch
I'm looking for SWE / AI internships and new-grad roles. If you're hiring — or just want to talk systems, ML, or a weird side project — my inbox is open.
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