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
No internship yet — but 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.
An architectural exploration of using GBNF context grammars to compel local language models to emit compact, native register instructions instead of volatile JSON payloads.
A deep dive into bypassing macOS kernel space constraints to capture process-isolated audio streams and programmatically execute real-time Biquad filtering.
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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