Welcome to my GitHub profile! I'm a passionate ML engineer with deep expertise in building intelligent AI systems, particularly in healthcare and computer vision.

I'm a dedicated developer with 5+ ML/DL projects, specializing in:

• Medical Image Analysis - Lung disease, COVID-19, Parkinson's detection
• Deep Learning - CNNs, RNNs, Transformers, YOLO implementations
• Computer Vision - Real-time detection, image processing, recognition systems
• Healthcare AI - Intelligent automation systems for medical diagnostics
• NLP Applications - Chatbots, intent recognition, conversational AI

• Supervised Learning: Regression, Classification, Ensemble Methods
• Unsupervised Learning: Clustering, Dimensionality Reduction, PCA
• Deep Learning: CNNs (ResNet, VGG, YOLOv3), RNNs (LSTM, GRU), Transformers
• Computer Vision: Image Classification, Object Detection, Segmentation
• NLP: Text Classification, Sentiment Analysis, Named Entity Recognition
• Data Science: Feature Engineering, Statistical Analysis, EDA

Languages:

• Python, SQL, HTML/CSS, JavaScript

ML/DL Frameworks:

• TensorFlow, PyTorch, Keras, Scikit-Learn
• Pandas, NumPy, Matplotlib, Seaborn
• OpenCV, NLTK, scikit-image

Tools & Platforms:

• Jupyter Notebook, Google Colab, VS Code
• Git/GitHub, MySQL, MongoDB
• Weights & Biases, TensorBoard

• Deep Learning, CNN | 1 Star
• Chest X-ray image analysis for disease detection

• Machine Learning, Python
• Voice analysis for early-stage detection

• Python, Computer Vision
• Real-time facial recognition attendance

• Deep Learning, YOLO, Python
• License plate detection and OCR

• Machine Learning, Regression
• Student metrics prediction

• NLP, Chatbot, IBM Watson
• Conversational AI for bookings

• Enhancing ML model efficiency and optimization
• Exploring advanced transformer architectures
• Building production-ready ML pipelines

• Advanced Transformers & Vision Transformers (ViT)
• Model Optimization (Quantization, Pruning)
• Cloud ML Platforms (AWS, GCP)
• MLOps Best Practices & CI/CD for ML
• Federated Learning & Privacy-Preserving ML

• Repositories: 24 public repositories
• Contributions: 85 contributions in the last year
• Followers: 4 | Following: 60
• Starred Projects: 15

• Artificial Intelligence & Machine Learning
• Healthcare AI & Medical Image Analysis
• Autonomous Systems & Robotics
• Computer Vision Applications
• MLOps & Model Deployment
• Data Engineering & Big Data
• Open-source contributions

I'm excited to collaborate on ML projects and contribute to open-source!

• LinkedIn: Sathvik Sanka
• Twitter: @sathviksanka11
• Location: Cincinnati, Ohio

• Star my repositories if you find them useful
• Fork and contribute to projects
• Discuss ideas and collaborate
• Share feedback and suggestions

Last Updated: November 2025