Summary
Arjun Ashok is a PhD student and researcher specializing in time series forecasting, currently splitting his research between MILA/Université de Montréal and Google Cloud AI Research. He focuses on making transformer architectures faster and more accurate for forecasting (TACTiS-2), developing early foundation models for lagged data (Lag-Llama), and creating benchmarks and methods for textual-context aided forecasting (CiK, Beyond DP). With a decade of research experience across labs and industry—ServiceNow Research, IBM, IIT Hyderabad—he combines strong systems thinking with practical pipeline work to adapt LLMs for multimodal forecasting. Notably, his work spans both model innovation and production-ready data pipelines, reflecting a rare blend of theoretical depth and engineering pragmatism.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université de Montréal
SSLC, SSLC at Bharatiya Vidya Bhavan Matriculation Higher Secondary School
Higher Secondary, Computer Science, Higher Secondary, Computer Science at GD Matriculation Higher Secondary School
Dual Degree (Bachelor's and Master's), Dual Degree (Bachelor's and Master's) at PSG College of Technology
English, Tamil, Hindi, German, French