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@MadanAyyanavara
MadanAyyanavara
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Full-Stack Developer | ML/MLOps Engineer | Passionate about building scalable systems & AI-driven solutions | Java • Python • JavaScript • React • Spring Boot •

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MadanAyyanavara /README.md

Hey there! 👋 I'm A Madan

Full-Stack Developer | ML/MLOps Engineer | Tech Enthusiast

Welcome to my GitHub! I'm passionate about building scalable systems, implementing machine learning pipelines, and creating user-centric applications. I specialize in full-stack development with strong fundamentals in DSA, System Design, and DevOps.


🚀 Skills & Technologies

Programming Languages

Java Python JavaScript C++

Backend & Frameworks

  • Spring Boot | Spring Security | Spring MVC
  • Node.js | Express.js
  • MongoDB | PostgreSQL | H2
  • REST APIs | Microservices

Frontend & UI

  • React.js | TailwindCSS
  • Responsive Design | Modern UI/UX

DevOps & Cloud

  • Docker | Kubernetes | Jenkins
  • GitHub Actions | CI/CD Pipelines
  • AWS EC2 | SonarQube

Machine Learning & MLOps

  • scikit-learn | pandas | NumPy
  • ZenML | MLflow | Model Deployment
  • Feature Engineering | EDA | Regression Models

Tools & Platforms

  • Git & GitHub | VS Code | Postman
  • Maven | JUnit | SonarQube
  • Swagger | Docker Hub

💼 Featured Projects

An end-to-end ML pipeline for house price prediction with 91% R2 accuracy on 2,900+ records.

  • Tech Stack: Python, scikit-learn, pandas, NumPy, ZenML, MLflow
  • Key Achievements:
    • Automated EDA & feature engineering with 70% retraining time reduction
    • MLflow registry with 45% debugging time improvement
    • REST API with 250ms inference latency

Secure boardgame listing platform with role-based access control & containerization.

  • Tech Stack: Java, Spring Boot, Spring Security, H2, Docker, Kubernetes, Jenkins
  • Key Achievements:
    • Implemented RBAC blocking 100% unauthorized edits
    • Kubernetes deployment achieving 99.3% uptime on AWS EC2
    • CI/CD integration reducing build failures by 60%

AI-powered productivity tool for PDF summarization and contextual Q&A.

  • Tech Stack: React.js, Node.js, MongoDB, Gemini AI, Cloudinary
  • Key Achievements:
    • 50+ testers using the platform for QA
    • 40% response quality improvement via Gemini NLP
    • 35% load latency reduction through Cloudinary optimization

🎓 Education & Certifications

  • B.E. Computer Science | JSS Science and Technology University, Mysuru
  • Relevant Coursework: Data Structures & Algorithms, DBMS, Operating Systems, Computer Networks, OOPS
  • Continuous Learning: Full-stack development, System design, DevOps, ML/MLOps

📫 Let's Connect!


🎯 Current Focus

  • 🔨 Building production-ready applications
  • 📚 Mastering System Design & Advanced DSA
  • 🤖 Exploring MLOps best practices
  • 🌐 Contributing to open-source projects

"Code is poetry written for machines, but understood by humans." 💻

Feel free to explore my repositories, star your favorites, and reach out for collaboration opportunities!

Pinned Loading

  1. Boardgame-Listing-Web-App-RBAC-DevOps- Boardgame-Listing-Web-App-RBAC-DevOps- Public

    Secure boardgame listing web app built with Spring Boot and Spring Security implementing RBAC for three roles. Features structured CRUD operations with a seeded H2 database. Dockerized and deployed...

    HTML

  2. Production-Ready-House-Price-Prediction-System Production-Ready-House-Price-Prediction-System Public

    Built an end-to-end ML pipeline for house price prediction using Python, scikit-learn, pandas, and NumPy, achieving 91% R2 on 2,900+ records. Automated EDA, feature engineering, and outlier handlin...

  3. brAin-buddy brAin-buddy Public

    AI-powered study buddy application with client and server components

    TypeScript

  4. AI_resume_Builder AI_resume_Builder Public

    JavaScript

AltStyle によって変換されたページ (->オリジナル) /