Jonathan Conley Email & Phone Number

With over 12 years of experience in software engineering, I am passionate about creating innovative and impactful solutions using machine learning and artificial intelligence. My field of expertise is in generative neural networks and clustering, which I apply to various domains and challenges at Google. I am motivated by Google's mission to organize the world's information and make it universally accessible and useful, and I strive to contribute to this vision by developing state-of-the-art algorithms and systems that enhance the quality and relevance of Google's syndicated text ads.As a Software Engineer at Google, I am the primary lead on several machine learning research projects for the syndicated text ads team. I have successfully reduced the amount of training data and time required for our neural networks by 75%, by tuning, investigating, and piecing together checkpoints from models that trained on separate data. I have also trained variational autoencoders using categorical vectors as the target output of a machine learning model, to help the team cluster advertiser domains based on the types of ads that lead to that domain. These projects demonstrate my skills in programming, data analysis, optimization, and problem-solving, as well as my ability to work independently and collaboratively with other data scientists and engineers. I am always eager to learn new technologies and techniques, and to share my knowledge and insights with others.I have also created real time solutions for video upscaling using convolutional neural networks and 2d to 3d stereoscopic conversions.

Listed skills include Game Design, Game Programming, C++, Algorithms, and 15 others.

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  Pennwest Edinboro

  Computer Science: Theoretical