Raju Ram Email and Phone Number
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Raju Ram is a trained computational scientist with expertise in developing scalable algorithms on parallel machines. He is currently working on Computer vision algorithms (e.g. calibration) at Robert Bosch GmbH . He was a Computer Science Ph.D. student at the HPC competence center at Fraunhofer ITWM in Germany. In this PhD research, he has developed parallel preconditioners to solve extreme, large-scale linear systems in CFD and FEM simulations. He was one of the main developers of the linear solver library GaspiLS (http://www.gaspils.de/). In Deep learning, he has scaled the hyperparameter optimization of deep neural networks, which drastically reduces the time to train millions of model parameters for the ResNet32 network on the CIFAR-10 dataset. He holds an Erasmus Mundus joint master's degree in Computer Simulation of Science and Engineering and a Bachelors's in Mathematics and Computing. He has previously worked as a Software Engineer in the FICO Score team at Fair Issac Cooperation, Bangalore, India.Areas of Expertise: Data structures and algorithms, Parallel programming, Code optimization, Parallel linear solvers, Hyperparameter optimization in Deep Neural NetworksProgramming languages and tools: C++11, Python, OpenMP, MPI, GASPI, Pthreads, Git, CMake, GTest, LatexGerman level : B1 completedContact Email : raju.hpc@gmail.com
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Senior Software DeveloperBosch Feb 2022 - PresentLeonberg, Baden-Württemberg, Germany -
Doctoral ResearcherFraunhofer Itwm Nov 2017 - Jan 2022KaiserslauternIn my Ph.D. research, I developed multilevel ILU-based asynchronous and scalable parallel preconditioners in a linear solver library GaspiLS, to solve very large-scale linear systems in simulations. It exploits GASPI based distributed memory parallelism using the Restrictive Additive Schwarz (RAS) method. At the shared memory level, it exploits parallelism with a multilevel nested dissection(MLND) approach. Initial experiments for the convection-diffusion problem show 83% parallel efficiency of RAS preconditioner on 64 processes and 50% parallel efficiency MLND-based approaches, using 64 GASPI processes, each having 20 cores. In Deep learning, I have optimized the Cholesky decomposition in the underlying Hyperparameter Optimization problem using lazy Gaussian Processes. It has improved the run-time by a factor of 15 for MNIST dataset on LeNet5 and 3 for CIFR-10 dataset on RestNet32. I have presented this research at Supercomputing Conference 2019 in Denver, Colorado.
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Master Thesis ProjectDeltares Oct 2016 - Aug 2017Delft Area, NetherlandsIn my master thesis project, I have developed a parallel deflation-based preconditioner to solve large-scale linear systems of equations arising from Groundwater flow equations. It has reduced the run time of the Dutch water management model called Netherlands Hydrological Instrument by 4x on more than 100 MPI processes. The project description can be found at http://ta.twi.tudelft.nl/users/vuik/numanal/ram.html. -
Software DeveloperFico Jun 2014 - Aug 2015BangaloreI was responsible for software development of the FICO Score:▪ Developed mathematical models to generate FICO and Expansion Score for Banca Transilvania, Romania.▪ Delivered the FICO Score software in C#.NET to our client CRC, Nigeria.▪ Designed a proof of concept for license mechanism software which provides restriction of license usages for the FICO score. For this project, I have developed a variant of Base64 encryption and decryption algorithm to safeguard license key. The programming language used was Java -
Visiting ResearcherEindhoven University Of Technology May 2013 - Jul 2013Eindhoven Area, NetherlandsI was analyzing the PRIMA method which reduces the time complexity of Industrial problems based on Differential Algebraic Equations(DAE). I wrote Matlab code to compute the Index, which measures sensitivity of DAE's. I was investigating why PRIMA fails for DAE's having high index.
Raju Ram Skills
Raju Ram Education Details
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8.0/10.0 -
Mathematics And Computing -
Tagore Senior Secondary School, Kuchaman City
Frequently Asked Questions about Raju Ram
What company does Raju Ram work for?
Raju Ram works for Bosch
What is Raju Ram's role at the current company?
Raju Ram's current role is Computer Vision Developer at Bosch | HPC and Deep Learning | TU Delft and IIT Grad.
What is Raju Ram's email address?
Raju Ram's email address is ra****@****sch.com
What schools did Raju Ram attend?
Raju Ram attended Delft University Of Technology, University Of Erlangen-Nuremberg, Indian Institute Of Technology, Guwahati, Tagore Senior Secondary School, Kuchaman City.
What are some of Raju Ram's interests?
Raju Ram has interest in Science And Technology, Education, Health.
What skills is Raju Ram known for?
Raju Ram has skills like Microsoft Office, Microsoft Excel, Microsoft Word, Powerpoint, Customer Service, Research, Teamwork, Photoshop, Social Media, Public Speaking, C++, English.
Who are Raju Ram's colleagues?
Raju Ram's colleagues are Karel Van Gennip, Sérgio Gomes, Sophy C., Sunil Hadapad, Xianjun Zhou, Shraddha Shetty, Claudia Rummel.
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