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Niveditha Madegowda is listed as Graduate Student @USC Viterbi School of Engineering| Machine Learning and deep learning Enthusiast based in Los Angeles, California, United States. AeroLeads shows a matched LinkedIn profile for Niveditha Madegowda.
Niveditha Madegowda previously worked as Lead Artificial Intelligence Engineer at Workup and Senior Software Engineer at Element Technologies Inc. Niveditha Madegowda holds Master Of Science - Ms, Electrical And Computer Engineering (Machine Learning And Data Science) from University Of Southern California.
Creative and results-driven Senior Software Engineer with 5 years of experience, now specializing in Machine Learning and Deep Learning. I combine technical expertise with innovative thinking to develop advanced ML models and AI-driven solutions. Recognized with Bravo and Stellar awards at Tata Elxsi, I’m eager to apply my skills to drive impactful ML and DL projects that solve real-world problems.
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Los Angeles, California, United States
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Conducting Research on developing applications to integrate artificial intelligence to data analytics and supply chain businesses. Development of Virtual Reality applications using Unreal Engine and Unity.Designing proof of concepts, connecting with clients as a subject matter expert and implementing effective strategies to drive projects towards success.
Applying mathematical skills and design principles in C# to optimize and develop data-driven game template for an edutainment company.Completed young leads program - insights into effective leadership practices, strategic decision-making, and fostering a culture of innovation within team.Collaborating with 2D artists, sound engineers and senior technical.
Got trained on data structures and algorithms, object Oriented Programming.Worked on Developing 2D edutainment games using Unity-3D using OOPs concept.Participated in formal internal design reviews of projects developed by seniors and research on multiplayer networking with unity engine.
Developed a Machine Learning model to classify healthy/diseased leaves which would help farmers identify diseases in plants and take early action.For the creation of the training data set, manual collection of papaya leaves was done and its photographs were used for image processing.Used Random Forest algorithm to train the classifier and classification.
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Niveditha Madegowda is listed as Graduate Student @USC Viterbi School of Engineering| Machine Learning and deep learning Enthusiast.
Niveditha Madegowda is based in Los Angeles, California, United States.
Niveditha Madegowda has worked for Workup, Element Technologies Inc, Tata Elxsi, and Isro - Indian Space Research Organization.
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Niveditha Madegowda holds Master Of Science - Ms, Electrical And Computer Engineering (Machine Learning And Data Science) from University Of Southern California.
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