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KuldeepBhargav/README.md

๐Ÿ’ซ About Me:

๐Ÿ‘‹ Hi, Iโ€™m Kuldeep Bhargav

๐Ÿš€ Full Stack Developer | MERN Stack | AI & ML Researcher

Iโ€™m a Computer Science Engineering undergraduate at Madhav Institute of Technology & Science (CGPA: 8/10) with strong hands-on experience in full-stack development and machine learning research. I enjoy building scalable software products and applying AI/ML to solve real-world problems.

๐Ÿ”ญ What Iโ€™m Currently Working On

MERN Stack & Full Stack Development โ€“ building secure, scalable, and production-ready applications

Machine Learning & Deep Learning Research โ€“ focusing on predictive systems and intelligent decision-making

Research Paper:
๐Ÿ“„ โ€œAI-Powered Disaster Prediction System: A Comprehensive Approach to Mitigating Natural Disastersโ€
๐Ÿ›๏ธ Published at ISCMCTR-2025

๐Ÿ‘ฏ Iโ€™m Looking to Collaborate On

Product-based company projects

Software development & full-stack applications

AI/ML-driven systems (prediction, recommendation, automation)

Research-oriented engineering projects

๐Ÿค Iโ€™m Looking for Help With

Designing large-scale system architectures

DevOps & CI/CD pipelines for production deployment

Advanced model optimization & deployment (MLOps)

Industry-grade system design practices

๐ŸŒฑ Iโ€™m Currently Learning

DevOps (Docker, CI/CD, deployment workflows)

Advanced Data Structures & Algorithms

Scalable Full Stack Architecture

Cloud & Performance Optimization

๐Ÿ’ป Technical Skills

Languages:
Java | Python | C++ | SQL | HTML | CSS

Web & Full Stack:
ReactJS | Next.js | NodeJS | MongoDB | Firebase | REST APIs

Machine Learning & AI:
NumPy | Pandas | TensorFlow | OpenCV | Scikit-Learn | NLP (TF-IDF)

Tools & Platforms:
Git | VS Code | IntelliJ IDEA | Jupyter Notebook | MySQL Workbench | MongoDB

Core CS Knowledge:
DSA | OOP | DBMS | Operating Systems | Computer Networks | Software Engineering | Information Security

๐Ÿš€ Key Projects
๐Ÿ”น Safe Lunar Navigation Route Planner

Built a TensorFlow-based model to classify lunar terrain safety using satellite imagery

Achieved 90.1% accuracy on unseen test data

Automated hazard detection with OpenCV, saving 20+ hours/week

Optimized inference using Google Colab TPU, handling 900+ requests/sec

๐Ÿ”น Skill Path Finder (MERN + ML)

Developed a full-stack MERN application with Firebase Authentication

Designed a hybrid ML model (Decision Tree + TF-IDF)

94.3% accuracy in skill prediction

91.2% accuracy in course recommendation

Integrated OpenAI & Gemini APIs for resume parsing and LinkedIn profile analysis

๐Ÿ† Achievements

๐Ÿฅˆ HackHound 3.0 Hackathon 2025 โ€“ Semifinalist

๐Ÿ“š Research Paper Author โ€“ ISCMCTR-2025

โ˜๏ธ Certified in Cloud Computing (Microsoft Azure)

๐Ÿ”— Blockchain Technology Certification โ€“ IIT Roorkee

๐Ÿ’ฌ Ask Me About

MERN Stack Development

Machine Learning & AI projects

Research paper writing & publication

DSA & problem-solving strategies

Building real-world full-stack applications

โšก Fun Fact

I love turning research ideas into working productsโ€”from AI models to full-stack deployments ๐Ÿš€

๐ŸŒ Socials:

Instagram LinkedIn email

๐Ÿ’ป Tech Stack:

C++ Java HTML5 CSS3 JavaScript Python LaTeX Firebase Netlify Bootstrap Express.js FastAPI JWT NPM Next JS NodeJS Nodemon OpenCV React React Router React Hook Form Vue.js Vite TailwindCSS WordPress Nginx MySQL MongoDB Firebase Postgres Figma Canva Keras Matplotlib NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow Git GitHub Docker Kubernetes Postman Power Bi

๐Ÿ“Š GitHub Stats:




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