Prashant Krishnan Vaidyanathan

About Me

Hi there! I currently do Machine Learning at Apple Ads, where I work on LLMs/AI, semantics and time series forecasting. I’m passionate about Machine Learning and have a keen interest in sequential data such as NLP, speech and time series — my experiences have led me to working with different modalities of data.

Prior to Apple, I did Machine Learning at Wiliot and really enjoyed my time there. My work there contributed to Wiliot’s collaboration with Walmart to transform retail supply chain with ambient IoT and AI. I completed my Master of Science in Computer Science degree from UC San Diego in June 2023, specializing in Machine Learning and Artificial Intelligence. At UCSD, I worked at Shang Data Lab under Prof. Jingbo Shang to enhance few-shot entity recognition through multimodal language models and graph neural networks in the field of document image understanding.

In the summer of 2022, I was a Data Scientist Intern at Apple in the Ad Platforms Data Insights team where I worked on time series clustering models for budget utilization analysis. Before I joined UCSD, I worked at LEAP Lab, IISc with Prof. Sriram Ganapathy on speaker verification and diagnostics of COVID-19 using speech and respiratory sounds (Project Coswara).

You can find my resume here.

Misc.

Besides this, I’m a huge sports buff, love playing sports and love music. Always open to any conversations on cricket, football, tennis and F1! During the pandemic, I finally got around uploading some song covers on Youtube. I also enjoy running and hiking. In the October of 2023, I completed my first half marathon! Doing a full marathon is in my bucket list!