I am a machine learning engineer, applied mathematician and software developer. I mainly specialize in modelling operational business decisions and multi-modal search problems. In particular, I build tools for practitioners to act on real-world decision problems. I am a generalist who loves working on various sequential decision problems ranging from healthcare operations to financial portfolio optimization and hospitality planning. The dynamic nature of these problems imbibes various modelling aspects ranging from representation learning, time-series forecasting, sequence-to-sequence models, stochastic modelling, experimentation and reinforcement learning under uncertainty. I am also interested in the end-to-end ML deployment, distributed systems architecture and Ops technologies that enable these low latency, streaming and real-time applications.
Some Links
Background
Currently, I am a Senior Director of Machine Learning building AI applications at SponsorUnited. In my previous life, I pursued computational mathematics research, earning me a MS in Financial Mathematics and PhD in Mechanical Engineering from Stanford University. Since then I have worked across the spectrum of data science, software engineering and engineering management roles including being a Data Scientist lead at Seagate Technology, Data Science Manager at Mapquest Inc, Head of Data Science at Brandfolder, Director of Data Intelligence Platform at Avero and Director of Machine Learning at Teladoc.