Karan Acharya is a Machine Learning Engineer based in San Francisco with eight years of experience building applied ML solutions across computer vision, NLP, and large language models. He focuses on explainable AI, blending model performance with interpretability to drive trusted deployments. Comfortable moving models from research to production, he leverages a deep practical understanding of LLMs alongside vision and language pipelines. Colleagues know him for balancing rigorous engineering with a curiosity for novel model explanations and for making complex ML systems easier to audit and maintain.
Contributions:10 pushes, 1 branch in 1 year 11 months
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