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Pooja MauryaPM
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Pooja Maurya

@poojamaurya

PhD materials scientist specializing in additive manufacturing, computer vision, and AI.

United States
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What I'm looking for

I seek R&D or engineering roles combining additive manufacturing, materials characterization, and AI-driven vision to solve defect-detection problems in collaborative, multidisciplinary teams.

I am a PhD materials scientist with over ten years of engineering experience focused on additive manufacturing, materials characterization, and applied computer vision for high-resolution materials images.

My doctoral work at Carnegie Mellon developed supervised, semi-supervised, and unsupervised computer vision pipelines to quantify defects in binder-jet printed steels, integrating microscopy, XRD, CT data and high-performance computing.

I have industry experience designing and prototyping metal additive parts and DFAM guidelines at Apple, and operational process control experience from a production role in aluminum potline operations.

I communicate technical results through peer-reviewed publications, conference talks, and guest lectures, and I collaborate across mechanical and electrical engineering teams to deliver real-time defect monitoring and camera-actuated feedback systems.

Experience

Work history, roles, and key accomplishments

Apple logoAP

Laser and Metal Additive Intern

May 2024 - Aug 2024 (3 months)

Designed additive prototypes using Siemens NX and nTopology, produced DFAM guidelines, and documented SOPs for safe lab equipment operation in the Product Realization Lab.

VL

Assistant Manager

Vedanta Aluminium Limited

Jul 2018 - Jun 2019 (11 months)

Managed potline operations using SCADA for real-time data acquisition and process control to support aluminum production and operational stability.

Education

Degrees, certifications, and relevant coursework

Carnegie Mellon University logoCU

Carnegie Mellon University

Doctor of Philosophy, Materials Science and Engineering

2021 - 2025

Activities and societies: PhD research, interdisciplinary collaborations, teaching assistantships, conference presentations, publications.

PhD in Materials Science and Engineering with research on computer vision for quantification of defects in binder-jet printed steels, involving additive manufacturing, high-resolution imaging, and AI/ML pipelines.

Indian Institute of Technology Kharagpur logoIK

Indian Institute of Technology Kharagpur

Master of Technology, Metallurgical and Materials Engineering

M.Tech. in Metallurgical and Materials Engineering focusing on materials characterization and processing.

National Institute of Technology Durgapur logoND

National Institute of Technology Durgapur

Bachelor of Technology, Metallurgical and Materials Engineering

B.Tech. in Metallurgical and Materials Engineering covering foundational materials processing and characterization techniques.

Tech stack

Software and tools used professionally

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