- 🔭 Interests: Machine Learning, Computer Vision, Artificial Intelligence, Deep Learning, Photogrammetry, Cloud Computing (AWS & GCP)
- 💼 Current Role: Data Operations Engineer
- ⚡ Fun Fact: I love transforming data into actionable insights and building smart solutions.
- 🛠️ Tech Stack: Python, NumPy, Pandas, Scikit-learn, TensorFlow, Keras, OpenCV, AWS, GCP, Cloud Platforms
- 👩💻 Explore my projects below or see all at my repositories
- 💬 Ask me about Python, Machine Learning, Computer Vision, Data Ops, AWS or GCP
- 📫 Reach me at: LinkedIn
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DynGS-Pro: Dynamic Scene Rendering Using Progressive Gaussian Splatting and Deformation Fields
My Master's Thesis project. Developed a hybrid explicit-model-plus-learned-residual framework for dynamic 4D scene reconstruction, leveraging progressive 3D Gaussian Splatting combined with deformation fields. -
Splat-Sentinel
Agentic, semantic-aware inspection planning on 4D Gaussian world models. -
SafeVLA-Retrieval
A safe retrieval framework utilizing Vision-Language-Action (VLA) models for secure and context-aware AI operations. -
DIEP-ThermoSim
Deep learning-based thermal simulation pipeline for computer vision and thermographic data analysis. -
CNN-based Image Classification using CIFAR dataset
Convolutional Neural Network for image classification on the CIFAR dataset. -
Image Classification with KNN and SVM
Comparison of KNN and SVM algorithms for image recognition.
Let's connect, collaborate, and build the future with data and AI!