About

Bhupendra Dubey is an accomplished Applied Mathematics and Computer Science practitioner with over 12 years of relevant experience in the field. Currently, he serves as the Staff Engineer - Machine Learning and MLE Lead at Findem, where he is responsible for building AI systems to aid in building diverse teams and accurately closing the talent gap. Bhupendra's expertise in Machine Learning, Deep Learning, NLP, Computer Vision, and Neural Networks has been honed through his work experience at Nutanix and Acceletrade. As a Senior Member of Technical Staff at Nutanix, he worked on data collection and alert in case of anomaly/failure on the cluster. At Acceletrade, he was a Quantitative Researcher, where he applied Machine Learning and Stochastic Calculus techniques in quant-finance to develop low/mid-frequency trading strategies/alphas for Indian markets. He also architected and led the development of a complete framework around Low/medium frequency quant research, including data collection, backtesting, simulation, and execution. Bhupendra's education background is equally impressive, with an MS in Applied Mathematics and Informatics from the Higher School of Economics and a Bachelor of Engineering in Electronics and Communications Engineering from DTU. He is proficient in various programming languages, including Python and C, and has experience working as a Software Engineer, Research Scientist, Data Scientist, and Senior Software Engineer. Bhupendra's Tech Stack includes ML, Computer Vision, AI, Deep Learning, NLP, Neural Networks, Image Processing, Search, and test. He is a highly skilled professional with a passion for innovation and problem-solving. His experience in developing AI systems and frameworks to aid in building diverse teams and accurately closing the talent gap is a testament to his expertise in the field.