SD

Shyama Dorbala

Machine Learning Engineer at Liftoff

Shyama Dorbala's work experience includes the following roles:

- Machine Learning Engineer at Liftoff Mobile since September 2022 (current position).

- Software Engineer, ML at Google from August 2019 to August 2022. Responsibilities included building predictive models in Google Analytics (GA4) and working on voice-building and serving for Google Assistant.

- Senior Machine Learning Engineer at Qeexo from January 2019 to August 2019. Responsibilities included various ML development, implementation, and automation tasks, as well as software development for Android libraries.

- Machine Learning Engineer at Qeexo from May 2017 to January 2019. Involved in ML development, implementation, and automation, as well as software development for Android libraries.

- Software Engineer, Oracle Minicluster at Oracle from June 2015 to May 2017. Responsible for core development of the Oracle MiniCluster.

- Developer for fun projects from September 2015 to November 2015. Developed an online speech recognition engine to help new English speakers gauge their abilities.

- Data Science Developer at Red9 Corporation from February 2014 to May 2015. Worked on a data-science web platform for processing signals collected by motion sensors in a hardware device.

- Course Grader at the University of Southern California from January 2014 to May 2015.

- Hardware Engineer at NVIDIA from July 2012 to August 2013. Involved in Unit-level Verification of MPHY, developing a System-Verilog test environment and modeling the PAD in Verilog.

Shyama Dorbala began their education in 2008 at the Indian Institute of Technology, Hyderabad, where they pursued a Bachelor's degree in Electrical Engineering. Shyama successfully completed their studies in 2012. Afterward, they enrolled in the University of Southern California in 2013 to pursue a Master of Science degree. Shyama specialized in DSP, Machine Learning, and Speech. Shyama completed their master's program in 2015.

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Timeline

  • Machine Learning Engineer

    September, 2022 - present

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