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Aakaash Jois
Machine Learning @ Microsoft AI - Xandr Platform | Ex-Machine Learning Engineer @ Kalepa | NYU ECE Grad
Aakaash Jois is an Applied Scientist at Microsoft specializing in building and deploying machine learning models and data pipelines for Microsoft Ads Engineering.
He collaborates with various teams to deliver scalable and robust solutions that enhance the performance and user experience of Microsoft's advertising products and platforms.
Aakaash has a strong background in computer vision, image processing, and deep learning, developed during his Master of Science degree in Electrical Engineering at NYU Tandon School of Engineering.
During his studies, he focused on applying deep learning techniques to various image processing problems like image segmentation, object detection, and style transfer.
Aakaash also gained practical experience as a graduate teaching assistant for Big Data and as a deep learning research intern at Frenzy.ai.
His educational background includes a Master of Science in Electrical Engineering from NYU Tandon School of Engineering and a Bachelor of Engineering in Electronics and Communications Engineering from BNM Institute Of Technology.
He has worked in different roles at various organizations including Microsoft, Xandr, Kalepa, and Frenzy.ai, and has also been involved in mentoring and project internships.
