
Timeline
About me
AI/ML Research Engineer at Hexagon Manufacturing Intelligence
Education

National institute of technology karnataka
2007 - 2011Bachelor of technology (btech) mechanical engineering 9.23/10
Ecole polytechnique
2011 - 2012Master's degree fluid mechanics 15/20
Ecole centrale de lyon
2013 - 2016Doctor of philosophy (phd) fluid mechanicsTitle: Study of instability mechanisms in a flow along rotating cylinder placed in a axial flow● Numerical simulation of partial differential equations using C++ routines ● Eigenvalue calculations to obtain stability performance ● Automated scripts for data visualization and post processing using bash● Results published in two international journals and presented in several conferences
Experience

Ecole polytechnique
Mar 2012 - Sept 2012Internship (master thesis)Title: Instability mechanisms in plume flows● Modelling and numerical simulation of flow equations in MATLAB ● Eigenvalue computation using Arnoldi iterative methods● Post-processing of results and visualization

Tata institute of fundamental research
Jan 2013 - Jul 2013Research assistantTitle: Instabilities in non-rotating semi-infinite cylinder● Flow simulation using spectral solver Nektar++● Numerical implementation of stability equations in MATLAB● Project funded by Indo-French colloborative research programme● Colloborated with French laboratory (Ecole Centrale de Lyon) to develop the research methods

Limsi
Jun 2017 - Jun 2018Postdoctoral researcherTitle: Decoding and recoding wall turbulence● Data cleaning and handling (of around 10TB of data) of simulation data● Implemented Linear and Quadratic Stochastic estimation, and extended to Kernel based estimation for improved performance in Python● Implemented a sparsity based algorithm in Python as a ready-to-use library● Testing manifold learning methods (Kernel PCA, Diffusion maps, etc) for better performance● Tested a new variant of PCA that takes into account temporal dynamics of the flow● Tested Linear Discriminant Analysis method to obtain structures in turbulent flow Show less

Siemens plm software
Feb 2019 - Apr 2022Machine learning engineerTopic: Surrogate modelling of physical systems using neural networks● Development of neural network based model reduction tool using Tensorflow and Keras● UI development in PyQt for ease of usage of the tool● Model exchange using Open Neural Network Exchange (ONNX) format

Hexagon manufacturing intelligence
Apr 2022 - nowAi/ml research engineer
Licenses & Certifications

Mpi programming
IdrisSept 2017- View certificate

Improving deep neural networks: hyperparameter tuning, regularization and optimization
CourseraAug 2017 - View certificate

Machine learning
Udemy - View certificate

Sql and database design
Udemy - View certificate

Scala and spark for big data and machine learning
Udemy - View certificate

Neural networks and deep learning
CourseraAug 2017 - View certificate

Structuring machine learning projects
CourseraAug 2017
Honors & Awards
- Awarded to Srikanth Derebail Muralidhar, PhDEcole Polytechnique Foundation fellowship Ecole Polytechnique Sep 2011 Awarded full scholarship by Ecole Polytechnique Foundation for pursuing Masters in Fluid Mechanics in Ecole Polytechnique
- Awarded to Srikanth Derebail Muralidhar, PhDSummer Research Fellowship Jawaharlal Nehru Centre for Advanced Scientific Research May 2011 Recipient of Summer Research Fellowship to work in one of the premier research institutions of India
Languages
- anAnglais
- frFrançais
- hiHindi
- kaKannada
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