🎓 MCA Student | Class of 2025 | GLS University 🎓 🚀 AI/ML Enthusiast | Future Technology Architect 🚀
Name: Abhay Rudatala
Status: MCA Student (Class of 2025)
Mission: Transforming data into intelligence, one algorithm at a time
Specialization: Artificial Intelligence & Machine Learning
Vision: Building AI solutions that make a difference
Current Focus: Deep Learning, NLP, Computer Vision
"Smart resume optimization using machine learning"
Tech Stack: spaCy • NLTK • Machine Learning • Python • Streamlit
✨ Key Features:
- Intelligent Resume Parsing: Advanced NLP for extracting key information
- Skill Gap Analysis: TF-IDF + Naive Bayes/SVM classification (90-95% accuracy)
- Named Entity Recognition: spaCy NER for precise information extraction
- ATS Optimization: Industry-specific formatting recommendations
- Interactive Dashboard: Real-time analysis with actionable insights
🔗 Impact: Transforming career development through AI-powered resume intelligence
"Fine-tuned DistilBERT model for nuanced sentiment classification with emoji integration"
Tech Stack: DistilBERT • Transformers • Hugging Face Hub • Streamlit • Python • Deep Learning
✨ Key Features:
- Fine-Tuned DistilBERT Model: Custom-trained transformer model for precise sentiment classification
- Multi-Class Sentiment Detection: Classifies text into Positive, Negative, and Neutral sentiments with high accuracy
- Emoji Integration: Automatically generates contextual emojis based on detected sentiment and emotion
- Deployed on Hugging Face Hub: Model files hosted and versioned for easy reproducibility and sharing
- Interactive Streamlit Dashboard: Real-time sentiment analysis with visual emoji representations
- Transformer Intelligence: Leverages state-of-the-art NLP for understanding context and nuance
🔗 Impact: Bringing advanced transformer-based NLP to production with seamless user experience
🤖 Revolutionary AI projects in development... 🤖
Natural Language Processing • Computer Vision • Deep Learning • Transformer Models
- 🏆 Build 10+ production-ready ML models
- 📚 Master advanced transformer architectures (BERT, GPT, T5)
- 🔬 Contribute to open-source AI research projects
- 💼 Secure AI/ML research or engineering role
- 📖 Publish research papers in NLP/Computer Vision
- Natural Language Processing: Text classification, sentiment analysis, NER
- Machine Learning: Supervised/unsupervised learning, model evaluation
- Deep Learning: Neural networks, CNN, RNN, transformer models
- Data Engineering: Feature engineering, data preprocessing pipelines
- Model Development: Training, validation, hyperparameter tuning
- 📖 Advanced transformer architectures and fine-tuning
- 🧠 Computer vision and image processing techniques
- ⚙️ MLOps and model deployment strategies
- 🔍 Reinforcement learning and AI agents
- 📊 Statistical analysis and experimental design
- Transformer Models: Exploring BERT, GPT, and T5 architectures
- Computer Vision: Image classification and object detection
- Time Series Analysis: Forecasting and anomaly detection
- Reinforcement Learning: Building intelligent agents
- Research papers on latest AI/ML advances
- Hands-on experimentation with state-of-the-art models
- Contributing to open-source ML libraries
- Building diverse portfolio of AI applications
- 🤖 AI Research - Exploring the frontiers of artificial intelligence
- 📊 Data Storytelling - Transforming complex data into insights
- 🧠 Neural Networks - Understanding the mathematics of learning
- 📚 Tech Research - Reading cutting-edge ML papers
- 🎵 Music & Patterns - Finding mathematical beauty in melody
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MCA Student | Class of 2025 | GLS University
Transforming Data into Intelligence, One Algorithm at a Time
⭐ Star my repositories if you find them interesting! Let's push the boundaries of AI together! ⭐