๐ Hi, Iโm Kuldeep Bhargav
๐ Full Stack Developer | MERN Stack | AI & ML Researcher
Iโm 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.
๐ญ What Iโm 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:
๐ โAI-Powered Disaster Prediction System: A Comprehensive Approach to Mitigating Natural Disastersโ
๐๏ธ Published at ISCMCTR-2025
๐ฏ Iโm Looking to Collaborate On
Product-based company projects
Software development & full-stack applications
AI/ML-driven systems (prediction, recommendation, automation)
Research-oriented engineering projects
๐ค Iโm 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
๐ฑ Iโm Currently Learning
DevOps (Docker, CI/CD, deployment workflows)
Advanced Data Structures & Algorithms
Scalable Full Stack Architecture
Cloud & Performance Optimization
๐ป 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
๐ Key Projects
๐น 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
๐น 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
๐ Achievements
๐ฅ HackHound 3.0 Hackathon 2025 โ Semifinalist
๐ Research Paper Author โ ISCMCTR-2025
โ๏ธ Certified in Cloud Computing (Microsoft Azure)
๐ Blockchain Technology Certification โ IIT Roorkee
๐ฌ Ask Me About
MERN Stack Development
Machine Learning & AI projects
Research paper writing & publication
DSA & problem-solving strategies
Building real-world full-stack applications
โก Fun Fact
I love turning research ideas into working productsโfrom AI models to full-stack deployments ๐
๐ฏ
Focusing
Highlights
- Pro
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