Physics ∩ ML

Hello there! I’m a physics doctoral candidate passionate about machine learning and AI research. I aim to use my skills and knowledge to positively impact society by addressing real-world problems and developing innovative solutions.

Thanks to my training in machine learning and interdisciplinary mindset, I have what it takes to contribute to cutting-edge research endeavors. During my Ph.D., I had the opportunity to complete some graduate-level CS courses, including data mining techniques, introduction to deep learning, machine learning optimization, advanced computer vision, and probabilistic models for AI.

Currently, I’m working on research projects involving low-rank tensor completion for neural architecture search and unsupervised anomaly detection for new physics signals. I enjoy participating in Kaggle competitions and working on ML-based solutions to challenging problems in my free time. I’m seeking full-time data science and machine learning positions where I can apply my skills and expertise to innovative projects. I’m proficient in Python and SQL. I have experience working with popular deep-learning frameworks like PyTorch and TensorFlow and python libraries like NumPy, Pandas, and Scikit-learn.

I look forward to connecting with potential employers who share my passion for using technology and research to make a difference. Thank you for visiting my page!!