Muhammad Maaz Khan
About Muhammad Maaz Khan
Muhammad Maaz Khan is a Software Engineer currently working at Yobe Inc in Boston, Massachusetts. He has a background in Electrical and Computer Engineering and has held various positions in academia and industry, including roles at the University of Illinois at Chicago and K-Electric.
Work at Yobe
Muhammad Maaz Khan has been employed at Yobe Inc as a Software Engineer since 2020. His role involves significant contributions to the company's core engine and proprietary audio cleaning library. He devised a testing protocol for transitioning new experimental features from MATLAB to C++. Additionally, he reduced the data footprint of the audio cleaning library by 55% through a re-implementation of the core signal processing library. Khan also introduced Jira and Confluence to improve project planning and documentation, aligning with Agile methodology. He designed and implemented real-time artificial intelligence and signal processing algorithms for voice DNA tracking capabilities.
Previous Employment Experience
Prior to his current position at Yobe Inc, Muhammad Maaz Khan held several roles in different organizations. He worked as a Research and Teaching Assistant at the University of Illinois at Chicago from 2018 to 2019. Before that, he served as an Assistant Network Analyst at K-Electric in Karachi, Pakistan, from 2017 to 2018. He also worked as a Teaching Assistant at Lahore University of Management Sciences from 2015 to 2017. His early career included an internship at Siemens in 2015.
Education and Expertise
Muhammad Maaz Khan earned a Master of Science in Electrical and Computer Engineering from the University of Illinois at Chicago, where he studied from 2018 to 2020. He previously obtained a Bachelor of Science in Electrical Engineering from Lahore University of Management Sciences, completing his degree from 2013 to 2017. His educational background provides a strong foundation in software engineering, signal processing, and artificial intelligence.
Technical Contributions
At Yobe Inc, Muhammad Maaz Khan made notable technical contributions. He designed and built a hardware test-bed on Raspberry Pi for multi-microphone array solutions. He also trained two junior software engineers in the development of this project. His work in developing real-time algorithms for voice DNA tracking demonstrates his expertise in signal processing and artificial intelligence applications.