Hey 👋🏻 Thank you for dropping by!I am a Machine Learning Engineer by profession and currently work at Twitter, Inc. in San Francisco. I recently co-authored a book titled Sculpting Data for ML: The first act of Machine Learning which is a culmination of my myriad of experiences from brief stints at Facebook, Inc., National Research Council of Canada, and Institute of Research & Development France involving Data Science, mathematical modeling, and software engineering.
Having graduated from the University of California, San Diego, with a Master’s degree in Computer Science with an Artificial Intelligence specialization, I am presently plying my past experiences and knowledge towards Applied Machine Learning in the online advertisements prediction and ranking domain.
Red Hat 'Women in Open Source' Academic Award Winner and Google Summer of Code alumna, I am an ardent open-source contributor as well. I served as the Director of Women Who Code and Lead of Women Techmakers for a handful of years to help bridge the gender gap in technology. In my quest to build a powerful community of girls and boys alike, and believing in “we rise by lifting others”, I mentor aspiring developers and Machine Learning enthusiasts in various global programs.
I also have many international conference keynotes, technical talks, panels, workshops, blogs, and podcasts to her name. Apart from my technological ventures, I enjoys exploring new places (I have solo traveled to 15+ countries in 4 continents so far✈️), hanging out with friends and family, and have been recently having fun with baking.