Omansh Mathur is a skilled professional with a background in software engineering and data analysis, holding a degree in Mathematics and Computer Science from the Indian Institute of Technology (Banaras Hindu University). Experience includes a summer internship at Siemens Technology India, where Omansh contributed to a Load Forecasting Application, and a role as a Problem Setter Intern at InterviewBit, focusing on algorithmic problem development. Omansh has also worked at Scaler Academy as a Software Development Intern, creating an automated refund system, and as a Research Consultant at WorldQuant, developing trading strategies across global markets. Currently serving as a Software Engineer at Google, efforts focus on personalized query recommendations utilizing large language models to enhance user experience on Google Discover.
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