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shiga2006/README.md

Shivashiga A.M.

CSE (AI & ML) Undergraduate · Research-Oriented Developer · AI for Manufacturing

Portfolio Resume LinkedIn Email


👋 About Me

I'm a Computer Science Engineering (AI & ML) undergraduate at CIT Chennai (2023–27), focused on research-driven development at the intersection of deep learning and real-world manufacturing systems.

  • 🔬 Research focus — AI-driven defect detection and quality control in Additive Manufacturing (3D printing)
  • 🧠 Core interests — Meta-learning, model optimization, intelligent systems
  • 📱 Currently learning — Flutter for cross-platform development
  • ✍️ Technical writer — Publishing AI/ML articles on Hashnode and Dev.to
  • 📫 Open to — Research collaborations, internships, and ML engineering roles

🔬 Research Focus

AI for Additive Manufacturing

Applying deep learning and computer vision to detect defects in 3D printing processes. My work explores combining meta-learning with multi-modal sensor data for real-time quality control in smart manufacturing pipelines — bridging the gap between AI research and industrial application.

Key areas: Defect Detection · Computer Vision · Meta-Learning · 3D Printing QC · Intelligent Systems


🛠️ Technical Skills

AI / ML & Data Science

PyTorch TensorFlow scikit-learn OpenCV Pandas

Languages

Python Java JavaScript Dart

Frontend & App Development

React Vue.js Flutter HTML5 CSS3

Backend, Database & Cloud

Flask MongoDB MySQL AWS Git


📊 GitHub Stats


🌐 Find Me On

Kaggle Hashnode Dev.to YouTube LeetCode CodeChef


Profile Views

Open to research collaborations · internships · ML engineering roles

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  1. Multi-class-lung-disease-classification Multi-class-lung-disease-classification Public

    This repository provides a PyTorch implementation of a Prototypical Network with a Simple CNN encoder for few-shot multi-class classification of chest X-ray images. The model is designed to disting…

    HTML 4

  2. PROPERTY-PREDICTION PROPERTY-PREDICTION Public

    Machine learning system using Random Forest and XGBoost to predict mechanical properties (tensile strength, hardness, compressive strength) in 3D printed parts based on print parameters. Eliminates…

    7 1

  3. Dataplan-recommender Dataplan-recommender Public

    Recommendation of best-suited data plans for users based on who they are and how they use the internet.

    Jupyter Notebook 3

  4. Defect-detection-using-Meta-learning Defect-detection-using-Meta-learning Public

    Teaching AI to Spot 3D Printing Mistakes (Just Like a Human) Ever printed a 3D part only to find it cracked, warped, or stringy? It’s like watching your beautiful idea melt into disappointment. Wel…

    Python 4

  5. secret-ai-signals secret-ai-signals Public

    TypeScript 1