Dewang Sultania is a Senior Machine Learning Engineer with nine years of experience building and productionizing multimodal generative AI systems, currently driving ML at Netflix after leading LLM initiatives at Adobe. He combines deep academic training (MSE CIS, UPenn) and research on expressive power of deep networks with hands-on expertise in fine-tuning, quantization, LoRA, RAG, and scalable inference platforms like Triton and Kubernetes. Dewang has a strong production MLops pedigree—designing CI/CD/CT/CM pipelines, optimizing deployment infrastructure, and shipping AI features for consumer products such as Adobe Express. Earlier roles at AWS and Goldman Sachs show a solid software-engineering foundation in cloud services, streaming, and NLP-driven analytics. He also contributed to open-source ML tooling through Google Summer of Code with mlpack, reflecting a habit of bridging research, tooling, and product impact. Based in Emeryville, CA, he’s known for translating advanced model techniques into user-facing features that prioritize performance and operational efficiency.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at Birla Institute of Technology, Mesra
Master of Science in Engineering (MSE) Computer and Information Science, Master of Science in Engineering (MSE) Computer and Information Science at University of Pennsylvania
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