I'm a motivated and results-driven CS student with nearly 2 years of experience in machine learning, deep learning, and computer vision. My expertise lies in developing advanced deep learning solutions, creating data pipelines, and containerizing development environments. I have published peer-reviewed papers, and collaborated across various projects to deliver impactful results.
- 🔭 I’m currently working on a student project, testing and analyzing the robustness of GraphSynergy through manipulation of the graph information used by the GNN and cross validating it's performance.
- 👯 I’m looking to collaborate on exciting machine learning and software projects
- 💬 Ask me about machine learning, deep neural networks, and computer vision
- Programming Languages: Python, Java
- Deep Learning Frameworks: TensorFlow, PyTorch, Scikit-Learn, Weights & Biases
- Data Analysis: Pandas, R, SQL
- Containerization: Docker
- Automated Optical Inspection for Quality Control in PCBA Assembly Lines: A Case Study for Point of Sale Devices (HORA 2024)
- Automated Optical Inspection for Printed Circuit Board Assembly Manufacturing with Transfer Learning and Synthetic Data Generation (MED 2022)