Adit User

I am an experienced Generative AI and Machine Learning Engineer with a strong background in designing, developing, and deploying advanced generative AI models and machine learning solutions. My expertise lies in building scalable AI architectures and optimizing large-scale model training, particularly using frameworks like PyTorch and TensorFlow. I have a proven track record of collaborating within Agile, cross-functional teams to deliver innovative AI applications in financial services and enterprise environments.

At Visa, I led the research and development of generative AI solutions on AWS, utilizing services like Amazon SageMaker and AWS Lambda to build and deploy various models for synthetic transaction data generation and fraud scenario simulation. My work has involved designing adversarial testing workflows and ensuring compliance with safety benchmarks. I have also contributed to enterprise architecture discussions, helping to evaluate the impacts of new GenAI components across cloud-native application stacks.

Previously, at Netflix, I enhanced predictive analytics model accuracy and implemented deep learning models that significantly improved personalized recommendations. My experience includes managing the entire machine learning lifecycle and developing real-time inference APIs, which have streamlined operations and improved user engagement. I am passionate about AI ethics and governance, ensuring responsible AI adoption in all my projects.