I’m a full-stack software engineer who enjoys building data-intensive, real-time web applications at the intersection of software, hardware, and applied machine learning.
- 🔭 Currently working on real-time biopotential-signal streaming & analysis (ECG, EEG, EMG, EOG)
- 🧠 Hands-on with time-series ML, ECG beat classification, and in-browser inference
- ⚙️ Experienced with Web Serial API, Web Workers, WebGL, IndexedDB
- 🌐 Full-stack with Next.js, React, Node.js, Express, MongoDB
- 🧩 I like solving problems where performance, data, and UX matter
- 💬 Ask me about Full-Stack, Real-Time Systems, ML for Signals, DSA
- 📫 Reach me at ritikamis8081@gmail.com
I believe good software feels responsive, reliable, and human.
C++, C, JavaScript, TypeScript, HTML, CSS
React.js, Next.js, Node.js, Express.js, TensorFlow.js
MongoDB, SQL, IndexedDB
Web Serial API, Web Workers, WebGL, Canvas
Git, GitHub, VS Code, Docker (basic)
- 📊 Real-time biopotential-signal visualization & analysis
- 🤖 ML models for time-series data (ECG, motion sensors)
- 🌐 Production-ready full-stack applications
- ⚡ Low-latency browser pipelines
💡 Curious by nature. Driven by impact. Always learning. 🚀