Aishwarya Jadhav is a Machine Learning Engineer with more than four years of industry experience building impactful projects across multimodal LLMs, generative AI, and computer vision. Her work sits at the intersection of applied research and engineering: taking promising models out of the lab and turning them into robust, deployable products that hold up on accuracy, latency, and scalability.

She holds a Master’s degree from Carnegie Mellon University, where her research concentrated on multimodal deep learning and text information extraction. That academic foundation continues to inform how she designs multimodal pipelines and generative models for production settings, balancing what is possible in research with what is practical in real world systems.

Aishwarya is also passionate about technology that expands access. She has contributed to research on assistive technologies for the visually impaired: https://aiguidedog.wordpress.com/. Across research, engineering, and accessibility, her focus remains the same: building and deploying high-quality AI products that solve genuine problems.