~/bibhav

Seeking SWE / AI internships · Expected Dec 2027

Bibhav Adhikari

Software Engineer · real-time systems and applied ML

CS student at the University of Southern Mississippi. I co-built Audia, a native macOS audio app, and work on ML retrieval and evaluation systems. I enjoy taking difficult implementation details through to software people can use.

View work ResumeHiring? The 30-second version →
bibhav@portfolio — zsh
~/bibhav %

Selected work

Things I've built

A flagship systems project, plus ML work I'm proud of. Full list with filters on the projects page.

All projects
Audia & audia-tap logo
SystemsSWEFeb 2025 – Jun 2026

Audia & audia-tap

A macOS menu-bar app for real-time, per-app audio routing, plus an OSS CLI that pipes raw PCM straight into local AI models.

Why it was hard

A process tap is only the starting point. We built a routing engine around private stacked aggregate devices and physical outputs, using the system-audio permission path. Real-time HAL callbacks handle volume ramps and 10-band EQ, while dual taps crossfade between devices.

Driver-free
Audio capture
10-band
Equalizer
Crossfaded
Device switching

How it works

Per-app audio

Spotify, Zoom, any process

Core Audio HAL tap

Process-level intercept, no driver

SPSC ring buffer

Lock-free sample transfer

SIMD DSP

10-band EQ, volume ramps

Routed output

Physical outputs, dual-tap crossfades

SwiftCore AudioHALC++SIMDShellGitHub Actions
CLI source ProductScreenshotsRead the case study
AI/MLSWE
Mar 2026 – Present

Melody Retrieval System

A “sing-to-search” project: hum a tune and retrieve ranked matches from a MIDI corpus using learned audio embeddings.

MERT-v1-95M
Backbone
FAISS ANN
Retrieval
H100
Trained on
PythonMERT-v1-95MFAISSPyTorchHuggingFace
AI/MLSWE
Jan 2025 – May 2025

ML Intrusion Detection Evaluation

A scalable pipeline benchmarking RF, XGBoost, and TF-SVM models for network intrusion detection.

0.94
Macro-F1 (XGBoost)
119k+
Network flows
80+
Features analyzed
PythonXGBoostscikit-learnTensorFlow

Experience

Where I've worked

I've shipped production software, mentored peers, and built tools people use.

  1. Co-Creator & Software Engineer

    Feb 2025 – Jun 2026

    Audia & audia-tap

    • Co-built and shipped a production macOS audio-routing app and an OSS CLI for piping PCM into local AI models.
    • Focused on real-time audio safety, device crossfades, per-app EQ state, and signed-release distribution in a shared codebase.
    SwiftCore AudioC++GitHub Actions

  2. Backend Engineer

    Aug 2023 – Oct 2023

    Notes-Ninja

    • Built a Flask backend with PostgreSQL and a Redis caching layer for repeated queries.
    • Secured role-based sessions with OAuth 2.0 over a normalized PostgreSQL schema.
    PythonFlaskPostgreSQLRedis

  3. Software Developer & Volunteer Instructor

    Jul 2023

    Budhanilkantha School (Nepal)

    • Built a school-wide timetable tool for a 1,200+ student institution, solving complex constraint-satisfaction scheduling.
    • Shipped both an offline Excel/VBA desktop app and a cloud-based Google Apps Script portal, so admins got centralized control and faculty got distributed access.
    • Synchronized teacher and grade-wise schedules with real-time collision detection for classroom and instructor conflicts.
    VBAExcelJavaScriptGoogle Apps Script

  4. Member

    Aug 2024 – Present

    Google Developer Club (USM)

    • Attend tech workshops, participate in hackathons, and collaborate with peers on software projects.

Toolbox

What I work with

Languages, frameworks, and systems used in the projects above.

Languages

  • Swift
  • Python
  • C++
  • TypeScript
  • SQL
  • Shell

Frameworks & Libraries

  • React
  • Next.js
  • Node.js
  • Flask
  • PyTorch
  • TensorFlow
  • scikit-learn
  • XGBoost
  • FAISS
  • OpenCV
  • NumPy
  • Pandas

Infra & Systems

  • Docker
  • GitHub Actions
  • PostgreSQL
  • Redis
  • AWS
  • Linux / Unix
  • Core Audio / HAL
  • SIMD / Accelerate
  • C FFI
  • Data Structures & Algorithms

B.S. Computer Science, University of Southern Mississippi

GPA 3.86 / 4.00 · Expected Dec 2027 · Hattiesburg, MS

  • President's List (3×, USM)
  • Uber Global Hackathon: Regional Finalist, South/Central Asia
  • CS50's Introduction to AI with Python (Harvard Online)
More about me

Writing

From the blog

Engineering notes on systems, ML, and things I build.

All posts

Get in touch

Let's build something.

Seeking SWE / AI internships and new-grad opportunities aligned with my expected December 2027 graduation.If you're hiring, or just want to talk systems, ML, or a weird side project, my inbox is open.

adhikaribibhav@gmail.comSee the work

Command Palette

Search for a command to run...