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Changing traditional practices through working a layer at a time (Additive Manufacturing) and Data (Machine Learning)
About Me
About Me
Former Generative Design Research Intern at Autodesk (Boston, MA)
Mechanical Engineering Graduate Student at Carnegie Mellon University | Current GPA - 3.97
Skills: Machine Learning, Deep Learning, Computer Vision, Generative AI, Additive Manufacturing, 3D Design, Problem Solving and Analytics
Worked across multiple manufacturing domains like Furnace, Textile, Wire Drawing, Sheet Metal. Worked at the intersection of Manufacturing and Information Technology to communicate and validate feedback of clients. Currently working on applications of Machine Learning to mechanical design problems.
PROJECT HIGHLIGHTS
Achievements
Achievements
Economics Times Campus Star 2019-2020
Best use of 3D printing award at Formula Student Germany 2019
Special Achiever Award - 2018-19 and 2019-20
Strengths
Strengths
Empathetic Leadership
Analytical and Problem Solving
Multidisciplinary Research
Cognitive and Data driven Reasoning
Goals
Goals
To know machine learning algorithm applications at places of interest
To enable organizations to attain digital maturity
To make life easy by simple models
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