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hxrshx/README.md

Hi there 👋

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Hello Fellow < Developers/ >!

🎓 M.Sc. AI Student | 💻 Software Engineer | 🤖 Machine Learning Enthusiast

Bridging the gap between AI research and real-world applications


About Me

Github

🌟 Current Focus

  • 🔬 Pursuing cutting-edge AI research at TH Würzburg-Schweinfurt
  • 🏆 Building innovative solutions at the intersection of AI and enterprise software
  • 📊 Specializing in Deep Learning, NLP, and Computer Vision
  • 🚀 Contributing to open-source AI projects and research publications

💼 Professional Journey

  • Current: M.Sc. Artificial Intelligence Student 🇩🇪
  • Previously: Senior Associate Consultant @Infosys (Salesforce Development)
  • Experience: Software Engineering Specialist @GE Vernova
  • Impact: $250K annual cost savings through data migration projects
  • Recognition: 2x CIO Technology Excellence Award nominations

🛠 Technical Arsenal

🤖 AI/ML & Data Science

tensorflow keras scikit-learn jupyter

⚡ Enterprise Development

java apex salesforce lwc javascript

🌐 Web & Database

html5 css3 react postgresql


🚀 Featured Projects

🧠 AI/ML Research Projects

🤟 Sign Language Recognition

  • Tech Stack: ResNet18, PyTorch, OpenCV
  • Achievement: 87.49% accuracy on ASL alphabet
  • Features: CLAHE preprocessing, data augmentation
  • Impact: Real-time ASL interpretation system

🎯 Multi-Object Tracking System

  • Tech Stack: Particle Filter, Hungarian Algorithm
  • Achievement: Real-time trajectory prediction
  • Features: DBSCAN clustering, physics modeling
  • Impact: Advanced object tracking for robotics

📈 Time Series Classification

  • Tech Stack: MLP, CNN, TensorFlow
  • Achievement: Optimized training pipeline
  • Features: Early stopping, learning rate scheduling
  • Impact: Robust time series analysis framework

🃏 BlackJack AI Strategy

  • Tech Stack: Q-Learning, Double Q-Learning
  • Achievement: 43.5% win rate (vs 27% baseline)
  • Features: Epsilon-greedy exploration
  • Impact: Advanced reinforcement learning application

💼 Professional & Open Source

📧 Spam Email Detection

  • Multi-classifier approach
  • Advanced NLP techniques
  • High accuracy spam filtering

🚗 Uber Data Analytics

  • Comprehensive data analysis
  • Interactive visualizations
  • Business insights extraction

🔐 IoT Access Control

  • Embedded systems project
  • Secure access management
  • Hardware-software integration

📚 Research & Publications

🏆 IEEE Conference Papers

🦷 Dental Disease Prediction GNN vs CNN Analysis

  • Panoramic X-ray classification
  • Performance benchmarking
  • Clinical applications

📧 Spam Detection Strategy Multi-Classifier Approach

  • Advanced feature engineering
  • Ensemble methods
  • High accuracy results

👁️ AI for Accessibility Assistive Technology

  • Real-time object recognition
  • Voice-based navigation
  • Inclusive AI solutions

✍️ Technical Blog Posts


Connect with me



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Popular repositories Loading

  1. hxrshx hxrshx Public

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  4. hxrshx.github.io hxrshx.github.io Public

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  5. Spam-Email-Classification Spam-Email-Classification Public

    Classifies the given emails into Spam or Non - Spam Emails. The text in these Emails are Pre-Processed and then Machine Learning Algorithms are applied on our Datasets. The Algorithm which gives th…

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  6. Uber-Data-Analysis Uber-Data-Analysis Public

    Focuses on the Pre-Processing, Feature Extraction and Exploratory Data Analysis conducted on the Uber Pickup Dataset based of New York. The study provides a meaningful insight into the data and und…

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