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About me
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Short description of portfolio item number 1
Short description of portfolio item number 2 
The transformation is derived from the homography between the reference surface coordinate system and the target image coordinate system, allowing for the projection of the 3D model into the image’s pixel space.
Built a model that predicts the total ride duration of taxi trips in New York City.
Predicted if a machine will soon be hit with malware or not using Machine Learning.
Evaluated Java source code using the Randoop and EvoSuite tools, harnessing their automated testing capabilities to ensure code robustness and functionality.
Investigated the performance of the contrastive framework in the task of summarization, making the representation space of the language model more isotropic, which was then leveraged to generate more diverse texts.
Combined techniques from the Software Synthesis and Machine Learning to extract structured information from heterogeneous data.
Demonstrated that the algorithm exhibits bias in favor of white defendants and against black inmates.
Experienced in automata learning using the LearnLib framework, specifically employing the L* and TTT algorithms for active learning and system verification.
Designed and implemented a Python-based firewall module tailored for the POX SDN Controller, with comprehensive testing conducted within the Mininet simulation environment.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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