Resume
Experience
2018 - Present
Doctoral Candidate
Indian Institute of Technology , Madras
Chennai, India
Establishing structure-property correlations using materials informatics principles
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Investigating the applications of machine learning in material science to predict damage behavior with uncertainty quantification. This will majorly focus on reducing material design to product commercialization time
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In our work, we are focussing on developing the reduced-order damage prediction models for Dual-Phase steels. The microstructure and hardening sensitive reduced-order model is based on the random forest regression method. To further explore the DP steel microstructures space, a similar microstructure dataset is generated via Generative Adversarial Networks (GAN) and further quantification on similarity and physical awareness was evaluated.
2015 - 2018
Assistant Manager - Product Design and Development
Kirloskar Brothers Limited
Kirloskarvadi, India
Designed and developed large vertical turbine pumps as fluid management solutions. Assisted in new and value-engineered product design projects
Strategized inputs and implemented an action plan for deploying business decisions under four major pillars, namely Cost, Technology, Process, and Delivery
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Manufactured cast iron and special grade castings for various pump and turbine components. Optimized in process-related variables for ensuring productivity in manufacturing operations
Education
2018 - present
Indian Institute of Technology, Madras
Integrated Doctoral Programme (M.S. + Ph.D.) in Metallurgical and Materials Engineering
Chennai, India
Major courses completed are as follows
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Mechanical behavior of materials
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Numerical methods in Thermal Engineering
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Product Reliability
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Process Optimization
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Machine Learning in Civil Engineering
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Mathematical foundations of Data Sciences
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Advanced Phase Transformations
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Engineering Plasticity
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Introduction to research
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Conferences/ Workshops:
Selected for presenting work titled 'Comparison of PCA and MDS for microstructure-mechanical property evaluation' at 5th International Congress on 3D Materials Science (3DMS 2022), U.S.A
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Attended online workshop on 'Artificial Intelligence for Material Design (AIMD 2020)' organized by IIT Bombay
2011 - 2015
Visvesvaraya National Institute of Technology
Bachelor of Technology in Metallurgical and Materials Engneering
Nagpur, India
Major courses completed are as follows
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Engineering Physical Metallurgy
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Metallurgical Thermodynamics
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Characterization of Materials
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Ceramic and Polymeric Materials
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Electrical and Magnetic Materials
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Joining of Materials
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Light Metal Alloys
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Composite Materials
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Structural Metallurgy
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Surface Engineering
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Conferences/ Workshops:
Presented work titled 'Selection of ion exchange resin for purification of liquid waste generated in uranium extraction process' at Metallurgical and Materials Engineering Students’ Symposium (2014)