🚀 Full-Stack Developer | 🤖 AI & ML Enthusiast | 📚 Lifelong Learner
- 🎓 B.Tech final-year student from LNMIIT, Jaipur, India passionate about modern development and real-world problem solving
- 👨🏻🏫 Solved 400+ DSA problems, building consistency and complex logic
- 💡 Enjoy exploring systems, building projects, and learning how tech shapes experiences and solves real-world challenges
- ⚙️ Currently working in skills involving Full-Stack Development, System Design, and AI-powered applications
- 🎯 Goal: Build technology that genuinely helps people — while growing every day as a learner, engineer, and contributor to the tech community
🤼 BroCode
Built a collaborative whiteboard allowing users to build code snippets
Chat option enabled to truely commonicate ideas between users
🔧 Tech: ReactJS + Socket.io + Tailwind
📍 Repo is added
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🔐 OTP Extraction Engine (C++)
High-performance utility to extract One-Time Passwords (OTPs) from unstructured SMS and email text.
Designed to handle real-world message noise, multiple OTP formats, and edge cases while minimizing false positives.
🔧 Tech: C++ | STL | String Processing | Regex
✨ Features:
- Supports numeric & alphanumeric OTP formats (4–8 characters)
- Context-aware extraction using keywords like OTP, verification, code
- Rule-based filtering to reduce false positives
- Efficient string parsing with low time and memory overhead
- Handles diverse SMS/email templates
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🚀 Snap-QuizGen (In Development)
Upload a lecture PDF → extract content → generate 5 difficulty-based exam questions.
🔧 Tech: Next.js + Gemini API + MongoDB + Tailwind
📍 Repo will be added soon 👀
🚗 Ride Sharing System – Low Level Design (LLD)
Designed a scalable ride-sharing system using Object-Oriented Programming principles Covers user onboarding, driver–rider matching, ride lifecycle management, and pricing strategy Focused on clean class design, separation of concerns, and extensibility
🔧 Tech: C++ + OOP + LLD + System Design Concepts
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🤖 Conversational Chatbot
Basic NLP chatbot capable of responding to user queries
Trained on sample conversational intents + FAQ dataset
🔧 Tech: Python + Tensorflow + nltk + Flask + MySQL
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⛅ Weather App
Fetches real-time weather data based on user-entered location
Displays temperature, humidity, wind-speed & realted conditions in a clean UI
🔧 Tech: ReactJS + OpenWeather API
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🎬 Movie Recommender System
Content-based recommender that suggests similar movies
Uses cosine similarity over vectorized movie metadata
🔧 Tech: Python + pandas + scikit-learn + Streamlit
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📚 DSA + LLD Problem Archive
A curated collection of 300+ Data Structures & Algorithms problems solved and documented for long-term reference and community learning. Contains numerous design patterns frequently asked in major interviews. The repository is structured for clarity, consistency, and revision, covering a wide range of core DSA + LLD topics.
✨ Highlights:
- 300+ problems across arrays, strings, recursion, trees, graphs, DP, and more
- Clean, readable solutions with consistent naming and structure
- Useful for interview preparation and concept revision
- Actively maintained as I continue solving and learning
- Will be expanded for interviews beyond just coding - but as 10x Software Engineer
🔧 Language: I solved using C++ however feel much obliged to tell that presence of pseudo codes certainly make it much easier for anyone regardless of programming language
💭 "Great developers aren't born — they're built through curiosity, practice, and consistency."
⭐ If you're reading this — thanks for stopping by!