Summary
Rajiv Kumar is a Principal Research Scientist and geophysicist with nine years of experience applying advanced mathematical and computational methods to seismic imaging and velocity model building in the oil and energy sector. He holds a PhD in Geophysics and Seismology and has led R&D at major industry players (Schlumberger, SLB, TGS) while commercializing novel algorithms for 3D seismic interpolation and denoising using rank-minimization and curvelet-based techniques. Rajiv combines hands-on signal-processing expertise (finite-difference frequency-domain methods, matrix factorization, dictionary learning) with practical field experience in VSP and borehole geophysics. He also completed a data-science bootcamp to broaden his software and ML toolkit, enabling more scalable, stochastic optimization workflows. Based in the UK, he is known for translating theoretical low-rank and SVD-free approaches into production-ready software that improves subsurface imaging quality. Notably, he has a track record of inventing methods that materially reduce computational cost for 2D/3D problems while preserving imaging fidelity.
9 years of coding experience
BootCamp, Data Science, BootCamp, Data Science at Le Wagon
Bachelor's degree, Physics Honours, 80, Bachelor's degree, Physics Honours, 80 at Hindu College, Delhi University
Indian Institute of Technology Bombay
Doctor of Philosophy - PhD, Geophysics and Seismology, Doctor of Philosophy - PhD, Geophysics and Seismology at The University of British Columbia
Hindi, Punjabi, English