Faisal K.

Faisal K. has a diverse and extensive work experience in various roles within the tech industry. Faisal is currently a member of the MLSecOps Community, where they drive forward the field of Machine Learning Security Operations. Prior to that, they worked as a Senior Software Engineer at Protect AI.

Earlier in their career, Faisal worked at Argonne National Laboratory as a Research Software Engineer. In this role, they designed and developed parallel and distributed data processing pipelines and implemented APIs for analyzing X-ray data in real-time. Faisal also worked on automation and machine learning techniques for image segmentation. Faisal's work at Argonne National Laboratory included the development of a distributed and parallel system for computing auto-correlations on large volumes of X-ray image data.

Faisal's experience also includes being an Assistant Professor at the National University of Sciences and Technology (NUST) and a Research Assistant at the Human-Computer Interaction Lab, University of Wisconsin-Madison. In these roles, they worked on projects involving vision and speech analysis, as well as the development of machine learning models.

Additionally, Faisal was a Research Assistant at the Condor Project, University of Wisconsin-Madison, where they developed support for running Hadoop based MapReduce jobs and added storage features for handling data-intensive tasks.

Earlier in their career, Faisal worked as a Software Engineer at the California Institute of Technology and CERN, where they contributed to the development of a web services framework and worked as a software engineer for the CMS Experiment, respectively.

Faisal K. obtained a Bachelor of Science degree in Information Technology from the National University of Sciences and Technology (NUST) from 2001 to 2005. Later, from 2008 to 2011, they pursued a Master's degree in Computer Science at the University of Wisconsin-Madison. In addition to their formal education, Faisal has obtained several certifications including the Computer Vision Nanodegree from Udacity in October 2018, the Deep Learning Specialization from Coursera in May 2018, and the Self-Driving Car Engineer certification from Udacity in December 2017.