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2023-09-09
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Resume{: .btn .btn--info}{:target="_blank"} Portfolio{: .btn .btn--info}{:target="_blank"} LinkedIn{: .btn .btn--info}{:target="_blank"} {: .text-center}

👋 Hello!!

I'm Tanisha Khurana, a graduate student in my final year of masters in Electrical Engineering at NC State University. I am specializing in signal processing and computational intelligence.

I'm currently working as a Graduate Research Assistant for the Department of Crop and Soil Sciences for Precision Sustainable Agriculture{:target="_blank"} under Dr. Chris Reberg-Horton. My thesis is on Multi-task learning and Domain Adaptation techniques for Semantic Segmentation & Biomass Composition Estimation.

I have also worked on the developmental process of PlantMap-3D{:target="_blank"} and researched under Dr. Edgar Lobaton at Active Robotics and Sensing Lab{:target="_blank"} on Foraminifera Segmentation{:target="_blank"}

With over 4 years of experience in Computer Vision and Machine Learning, I possess a strong track record of leading teams and managing entire projects during my tenure at Wobot.ai{:target="_blank"} and Intello Labs{:target="_blank"}. This experience has allowed me to develop a deep understanding of computer vision and machine learning, which I have successfully applied to various projects, including object detection, image segmentation, video analysis, and facial recognition.

I am currently based in Raleigh, North Carolina and I'm always looking for opportunities to work with passionate people on shared goals, whether it be creative, personal or professional projects!