Headline

Experienced CFD professional looking for challenging problems

About

Accomplished Fluid Dynamics professional with over 15 + years of experience in developing advanced computational tools and solving complex engineering challenges across various industries, including aerospace, automotive, oil and gas, and polymer engineering. Possesses strong analytical and problem-solving skills, adept at translating intricate challenges into actionable engineering solutions. Committed to mentoring and developing talent within the field, leveraging advanced technical capabilities to cultivate a culture of innovation. I have a strong focus on high-speed aerodynamics, aero-acoustics, multiphase flow, and turbulence modeling. Have hands-on working experience in development of in-house & open source solvers, and commercial tools, including Fluent and STARCMM+. In addition to my core expertise, have spearheaded machine learning projects focused on optimising wiper simulations and accelerating aerodynamic and species transport simulations using physics-informed neural networks. I am passionate about leveraging innovative technologies to drive advancements in fluid dynamics and am always eager to connect with like-minded professionals to explore new opportunities. Research interests : Multiphase simulations, Aeroacoustics, High speed aerodynamics, Turbulence modelling, Two-phase viscoelastic solver, Parallel computing, OpenFOAM, STARCMM+, Fluent, Unisim, Machine learning, C, C++, Python, MATLAB

Location

Bengaluru

AI stack

github copilot

Work experience

Researcher Fluid flow and reactor engg. at Shell Technology center, Bangalore, Jul 2023 - Present · 3 yrs 3 mos, Bangalore Urban, Karnataka, India, Developed a CFD framework for grease flow modelling in bearings using Non-Newtonian multiphase flows. Led the advancement of erosion modelling (single phase and multiphase) through the implementation of user-defined functions using DPM. Developed a novel erosion model for brittle material, specifically catering tungsten carbide. Proficiency in 1D in-house tools developed in UniSim Design ensuring robust flow assurance and optimizing control systems across multiple assets, contributing to operational excellence and reliability. Developer of transient solver for CO2/H2 transport in in-house 1D multiphase tool. Contributed significantly to the development of a physics-informed neural network to improve the speed of miscible flow simulations in pipelines.

Domain Expert at Mercedes-Benz Research and Development India, Sep 2019 - Jul 2023 · 3 yrs 11 mos, India, Directed the CFD multiphase team in India for soiling applications of cars, fostering close collaboration with STARCCM+ development team to achieve desired accuracy that emulates wind tunnel testing, thereby reducing the need for prototype testing. Have worked on machine learning to optimize the CAD-CAE loop for wiper simulations, enhancing efficiency and project outcomes. Initiated collaboration with NVIDIA and championed the development of physics-informed neural networks and provided mentorship to graduate students, guiding them in successful proof-of- concept projects.

Founder in Residence at Entrepreneur First, Jan 2019 - Aug 2019 · 8 mos, Bangalore, Launched a venture focused on electric motors, demonstrating adaptability by engaging with industry experts to analyze sector challenges and propose a software solution tailored to market needs. Successfully secured letters of intent for collaborative projects within a short timeframe, and strategically shelved the project due to limited market needs, reflecting resilience in navigating obstacles.

Postdoctoral Engineer in Aerodynamics, Research and Technology at Boeing, Dec 2017 - Jan 2019 · 1 yr 2 mos, Bangalore, Acquired proficiency in BOEING custom built CFD solver, and conducted extensive research on hybrid RANS/LES models, verifying and validating various approaches to enhance accuracy. Investigated grid requirements to achieve optimal results for industry-specific cases, demonstrating strong analytical and problem-solving skills in the field.

Post doctoral fellow at Universidade do Minho, Mar 2017 - Dec 2017 · 10 mos, Guimarães Area, Portugal, Researched the flow dynamics of two immiscible fluids with a well-defined interface, relevant to multiple industrial applications. Developed a complex two-phase viscoelastic solver in OpenFOAM for the coextrusion process using VOF methods

Education

Doctor of Philosophy (Ph.D.), Aerospace Engineering, Indian Institute of Technology, Kharagpur

Bachelor of Technology (B.Tech.), Aerospace Engineering, Madras institute of technology