I am a passionate ML researcher with expertise in spatiotemporal data analysis, predictive modeling, and quantitative research. My work spans across academic and industry settings, where I have applied advanced technologies to build accurate and safe predictive models. I hold an M.Sc. in Computer Science from York University, where I focused on Machine Unlearning Problem. I have a passion for open-source/weight initiatives and always supporting them.I have six years of hands-on experience in Python, PyTorch, Machine Learning, and statistical methods. My experience includes developing software as a full-stack developer and also academic projects like machine unlearning for trajectory data and trajectory prediction learning using deep generative models.I am deeply committed to research and innovation, as evidenced by my work in academic labs and contributions to open-source libraries. When I’m not working on data-driven projects, I am active in the IEEE community, serving in different positions in IEEE Toronto.