Bio
I am an Engineering Manager in Machine Learning at Mastercard, where I’ve spent over 5 years leading teams to build scalable ML products. With 9+ years of experience in the field, I have a deep understanding of scaling machine learning systems and have worked extensively with technologies like Python, Multiprocessing, PySpark, and most recently, Ray.
I specialize in designing and deploying end-to-end machine learning systems, with a particular focus on optimizing performance and scalability. Over the years, I’ve gained hands-on experience in GPU acceleration for ML workflows, from setting up CUDA to training complex models on powerful hardware like NVIDIA GPUs.
I am passionate about leveraging cutting-edge technologies to improve machine learning workflows, and I enjoy sharing my knowledge with others in the community.