Working every day to become a high-performing Software Development Engineer with strong technical depth and hands-on practical experience.

I’m currently focused on MERN Stack Development and DSA to sharpen my problem-solving abilities. I also contribute to open-source projects and build real-world applications that apply the skills I learn—helping me break out of “tutorial hell” and use AI as a tool for guidance rather than something to depend on.

I strongly believe in consistent effort, deep learning, and building practical projects that solve real problems. Every day, I aim to improve a little more and move closer to my long-term goals.

• Solving DSA daily to strengthen my problem-solving skills
• Exploring new topics and advanced concepts in the MERN stack
• Building a WhatsApp chatbot inspired by WeChat
• Actively understanding the codebase of Meshery (an open-source CNCF project) and contributing to it

Wanderlust is a marketplace-style listing application where users can explore and filter different places, events, or items. It is built using Node.js, Express, MongoDB (Mongoose), and EJS templates.

The app allows:

• Displaying all listings on the home page
• Filtering listings by categories like Trending, Popular, New
• Full CRUD operations (Create, Read, Update, Delete) for listings
• Adding and managing user reviews on listings
• Validating data before saving to the database In short, Wanderlust works like a mini Airbnb/marketplace clone where users can browse listings, check details, and - interact with them through reviews.

View Project

This project is a real-time camera-based heart rate detection application built using Flask, OpenCV, YOLOv8, NumPy, and SciPy. It uses computer vision and signal processing to estimate heart rate (BPM) without any physical sensor.

The app allows:

• Detecting a user’s face using a YOLOv8 ONNX face model
• Extracting multiple ROIs (forehead + under-eyes) for accurate rPPG signal detection
• Measuring heart rate using green-channel intensity, bandpass filtering, and FFT
• Streaming real-time video processed through a Flask backend
• Displaying BPM with live status messages (Gym Mode or Patient Mode)
• Opening a native “Mirror View” window while safely sharing the camera feed
• Switching between web-stream view and mirror view using multi-threading
• Handling camera failures gracefully with fallback webcam logic
• Smoothing and stabilizing BPM using rolling-window averaging

In short, this project works like a real-time biomedical vision system, using only a webcam to detect heart rate with rPPG-based signal extraction and a clean Flask dashboard for monitoring.

Here are some additional projects I built while learning React, JavaScript, MongoDB, and full-stack concepts.

Projects that best demonstrate real development skills:

• User Management App – CRUD operations, user flows, and interface logic
  🔗 https://github.com/KSNauman/User-Management-App

• Spotify Clone (UI Only) – Music player interface built using HTML/CSS/JS
  🔗 https://github.com/KSNauman/Spotify-clone

• Weather App (React) – Real-time weather fetching using public APIs
  🔗 https://github.com/KSNauman/Weather_App_React

• MongoDB Relationship Learning – Understanding refs, embedding & population in MongoDB
  🔗 https://github.com/KSNauman/Mongodb-relationships-learning

Core React concepts, state handling, rendering logic:

• ToDo App (React) – Task manager built using React state
  🔗 https://github.com/KSNauman/ToDo-React

• Dynamic Display in React – Re-rendering, conditional UI handling
  🔗 https://github.com/KSNauman/Dynamic-display-in-React-re-render-

• React useState Practice – Experiments to master state management
  🔗 https://github.com/KSNauman/React_useState_practice

• Replica of Quora UI – UI/UX replication for layout and styling practice
  🔗 https://github.com/KSNauman/Replica_of_quora-learning-

These projects track your learning journey:

• Chats Learning Repo – Basic chat UI logic experiments
  🔗 https://github.com/KSNauman/chats-learning-

• Simon Says Game (JS) – Strengthening JavaScript logic & events
  🔗 https://github.com/KSNauman/Simon_says-JS-based-

• React Learning Process Repo – Notes and small experiments from your React journey
  🔗 https://github.com/KSNauman/react_learningProcess