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iamp1000/README.md

01 · ABOUT

Building software somewhere between data, systems and the web.

I'm a Computer Science student who likes turning ideas into working software — and occasionally into working software that surprises even me.

My interests sit somewhere between data, machine learning, backend systems and the web. I like taking things apart, figuring out how they work, and building my own version — preferably with a slightly unreasonable amount of experimentation.

Outside the terminal: skateboarding · music · exploring random things

Core technologies



DATA → SYSTEMS → INTERFACES



2 a.m. // why does this work now?


02 · CURRENTLY

🔭 BUILDING

Affective Music Intelligence
ML + API + dashboard
🌱 LEARNING

Production-minded ML pipelines
APIs & full-stack architecture
🎯 2026 FOCUS

Turn experiments into
polished, usable software
💬 ASK ME ABOUT

audio ML · data pipelines
and why my commits say “fix”

03 · WHAT I LIKE BUILDING

🧠 DATA & ML

Analysis · visualization · ML experiments · music intelligence · messy data made useful

⚙️ SOFTWARE

Full-stack apps · APIs · backend systems · databases · interactive dashboards

🧪 EXPERIMENTS

Small ideas, weird prototypes and projects that exist because “what if?” won

04 · SELECTED WORK

🎵 AFFECTIVE MUSIC INTELLIGENCE

THE PROBLEM
Mood and emotional tone in music are easy for humans to feel and surprisingly difficult for software to measure.

THE BUILD
A PyTorch pipeline extracts audio features and predicts mood from raw tracks. A FastAPI backend serves the predictions while a Next.js dashboard backed by TiDB turns the output into something you can actually explore.

↗ repository   ·   ↗ live demo

🧪 EXPERIMENTS & BUILDS

THE IDEA
Not every interesting idea needs its own startup, roadmap and deployment pipeline. Some just need to exist.

THE LAB
A growing collection of data, web and systems projects built while learning — less “portfolio”, more “lab notebook that compiles.”

Experiment technologies

↗ explore the lab


05 · THE TOOLBOX

Technology stack



LANGUAGES · FRAMEWORKS · DATA · BACKEND · TOOLING · DESIGN


06 · GITHUB SIGNAL

GitHub statistics Top languages
GitHub contribution streak

07 · CONTRIBUTION ARCADE

Pranav's custom GitHub contribution arcade



commit · push · break · fix · repeat


Email   LinkedIn   GitHub

Built with curiosity, caffeine and probably too many tabs.



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