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πŸš€ About Me

AI/ML Developer & Data Science Specialist | Full-Stack Engineer πŸš€

A dedicated engineer focused on building intelligent, data-driven systems that bridge AI, cybersecurity, and full-stack development.


🧰 Tech Stack

πŸ’» Languages

Python Java JavaScript TypeScript R SQL

🌐 Frontend

React Next.js HTML5 CSS3 Bootstrap Tailwind CSS

βš™οΈ Backend & APIs

Node.js Express.js Django FastAPI

🧠 Machine Learning & AI

TensorFlow Keras Scikit-learn spaCy OpenCV Graph Neural Networks

πŸ—„οΈ Databases

MongoDB MySQL PostgreSQL

☁️ Cloud & DevOps

AWS Google Cloud Docker Git GitHub Postman CI/CD


πŸŽ“ Certifications

βœ… Google Data Analyst Professional Certification – Google
βœ… Machine Learning Specialist – LinkedIn Learning
βœ… Python Programming Professional Certification – OpenEDG Python Institute
βœ… Full Stack Web Development with MERN Stack & GenAI – Udemy
βœ… Data Engineering Foundations – Astronomer
βœ… JavaScript Foundations – Mozilla
βœ… Docker Foundation – Docker
βœ… CI/CD Pipeline Build – LinkedIn Learning
βœ… Data Visualization with Tableau – Coursera


πŸ§ͺ Featured Projects

πŸ’Ό LifeSync – Personal Productivity & Life Balance Manager

  • Full-stack platform integrating health, finance, productivity, and emotional well-being.
  • Predictive analytics with RAG-based AI assistant (Gemini 2.5 Pro).
  • Future score predictions on habits, tasks, sleep, expenses, and nutrition.
    Stack: Python Β· spaCy Β· React.js Β· Node.js Β· MongoDB Β· Chart.js

πŸ“„ ApplyXpert – ATS Resume Analyzer

  • NLP-powered resume analyzer and job matching system.
  • Automated resume-job description alignment with 97% accuracy.
  • Provides actionable CV improvement feedback.
    Stack: Python Β· spaCy Β· React.js Β· Node.js Β· MongoDB

πŸ›‘οΈ Network Traffic Anomaly Detection

  • Built an Isolation Forest-based anomaly detection system for live traffic.
  • Achieved 94% detection accuracy.
  • Real-time visualization using Leaflet.js dashboard.
    Stack: Python Β· R Β· FastAPI Β· Isolation Forest Β· Leaflet

πŸ” Stealth Lateral Movement Detection (GNN)

  • Designed a Graph Neural Network system for enterprise cybersecurity.
  • Boosted detection accuracy by 40% and reduced investigation time.
  • Deployed with Docker + FastAPI + AWS S3 for scalability.
    Stack: Python Β· GNN Β· FastAPI Β· Docker Β· AWS

πŸ“ˆ GitHub Stats

Devashish's GitHub stats Top Languages


πŸ“ Notes

  • πŸ”¬ Researching AI for Cybersecurity (anomaly detection, intrusion detection, GNN-based movement tracking).
  • πŸ“Š Skilled in end-to-end ML lifecycle: preprocessing β†’ modeling β†’ deployment β†’ monitoring.
  • 🌱 Exploring LLMs, Generative AI, and advanced cloud security practices.
  • ✨ Open for collaborations on AI, NLP, cybersecurity, and intelligent full-stack applications.

🀝 Let's Connect!

πŸ“¬ Email: [email protected]
πŸ”— LinkedIn: linkedin.com/in/devsharma09
πŸ’» GitHub: github.com/DevSharma03
🌐 Portfolio: devsharma03.github.io/DevPortfolio

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