About

Swaraj Dalmia is a Machine Learning Researcher at skit.ai, where he is focused on building better models for Conversational Voice AI. With a Master of Science in Artificial Intelligence from the University of Groningen and a background in Mathematics and Computer Science, Swaraj has a strong foundation in the technical aspects of his field. He has experience working on speech and language problems in Conversational AI, and has a deep understanding of machine learning, neural networks, and computer vision. Swaraj's past experience includes working as a Teaching Assistant at the University of Groningen, where he taught a course on Languages and Machines to over 100 students. He has also worked as a Graduate Research Project assistant at the same institution, where he applied Generative Adversarial Networks to the domain of circuit design, generating innovative circuit topologies with end-end connectivity. Swaraj has experience with various types of GANs, including Traditional GANs, Wasserstein GANs, RMS GANs, and Conditional GANs, and has optimized network architecture and varied network capacity to fit training data. He has also considered different training sets by varying constraints on circuit topology, and analyzed the effect of different hyper-parameters and low-level design features. Swaraj's education includes a Master of Science in Mathematics and Computer Science from Birla Institute of Technology and Science, Pilani, as well as a Bachelor of Technology in Computer Science from the same institution. He also attended The Heritage School before beginning his university studies. Swaraj's technical expertise includes ML, Research Scientist, AI, Computer Vision, NLP, Python, Java, Adversarial Networks, GAN, Search, Keras, OpenCV, Deep Learning, Scikit, Docker, Pandas, and Pytorch. With 2.78 years of relevant experience, Swaraj is a skilled and knowledgeable Machine Learning Researcher with a deep understanding of Conversational Voice AI.