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42.16'48°N, 83.44'24°W Based In Ann Arbor
// About Me
MTS Software System Design Eng., Advanced Micro Devices Inc.

Performance optimization
and tuning of scientific applications & libraries on next generation HPC hardware

I am a University of Michigan graduate with a Ph.D. in Mechanical Engineering and Scientific Computing (joint degree). I offer 5+ years of experience in research and development of GPU-accelerated numerical algorithms and applications in high-performance computing (HPC) fields within scientific computing and data analytics. I have domain expertise in computational physics, with a focus in areas related to fluid mechanics, turbulence modeling, and multiphase flows. My reseach interests lie in the intersection of:

Computational Physics

Emphasis on fluid dynamics of complex flow problems that include turbulent boundary layers, flow modulation and separation control, turbulent mixing and similar flow set ups.

Numerical Modeling

Develop and use high-order numerical methods based on discontinuous approaches for complex high-speed and/or high-energy flows with shocks and discontinuities.

High-Performance Computing

Develop high-order numerical models with large-scale compute capabilities on emerging HPC architectures, with a focus on performance and stack protability of the code.

Year 2020 in Review

2020 required changing our conventional ways to more creative and out-of-the-box approaches. Virtual meets and greets became the norm. I defended my Ph.D. in Summer 2020 virtually on Zoom, attended conferences and workshops in a virtual setting, rejoiced watching my cousin getting married on screen, interviewed for full-time positions on MS Teams, and started my new position remotely.

Virtual Conferences
& Workshops
Conference Proceedings
@ AIAA Aviation & SC20
Journal Article
in Review
My Resume //

Additional Background on Education and Professional Experience

Educational Background

I have a broad educational background spanning the fundamentals of engineering to the depths of scientific computing.

Ph.D. Mechanical Engineering

01. -

Mechanical Mengineering, University of Michigan

Thesis Title: Large-Scale Simulations of Complex Turbulent Flows: Modulation of Turbulent Boundary Layer Separation and Optimization of Discontinuous Galerkin Methods for Next-Generation HPC Platforms.
This ressearch explores topics related to Turbulent boundary layers, Large-eddy simulations, passive flow control, discontinuous Galerkin methods, extreme-scale computations, arithmetic intensity and power-performance balance.
Thesis Advisor: Dr. Eric Johnsen

Details +

Ph.D. Scientific Computing (Joint Degree)

02. -

Michigan Institute for Computational Discovery and Engineering (MICDE), University of Michigan

This program is intended for students who will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their doctoral studies.

Details +

M.S. Mathematics

03. -

Mathematics, University of Michigan

I graduated from the Applied Mathematics Program with concentration in topics related to partial differential equations, numerical methods and analysis, and scientific computing.

Details +

M.S.E Mechanical Engineering

04. -

Mechanical Mengineering, University of Michigan

Masters Thesis Title: Large-Eddy Simulations of Flow Over A Backward-Facing Ramp With Vortex Generators.
This ressearch explores the separation of flow over a backward-facing ramp with a mean turbulent boundary layer as inflow with no turbulent fluctuations. We reduced the separated region by employing passive vortex generators. This study used the Large-Eddy Simulations approach.

Graduate Certificate: Computational Discovery and Engineering, MICDE, 2015

Details +

B.E. Production Engineering

05. -

Fr. Conceicao Rodrigues College of Engineering, University of Mumbai

I majored in Production Engineering with focus on tooling, manufacturing technologies and design of machining systems and tools.

Details +
//Work Experience

Professional and Leadership Roles

Work Experience

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My Featured Presentation

Dust is everywhere – not just in your attic or under your bed, but also in outer space. To some astronomers, dust can be annoying as it blocks the light of distant stars, but to others it can be a tool to study the history of our universe, galaxy, and Solar System. For example, astronomers have been trying to explain why some recently discovered distant, but young, galaxies contain massive amounts of dust. These observations indicate that type II supernovae – explosions of stars more than ten times as massive as the Sun – produce copious amounts of dust, but how and when they do so is not well understood. Large-scale numerical simulations of core-collapse simulations enable us to understand and uncover such complex phenomenons.

Lightning Talks: Intern Presentations | Los Alamos National Laboratory
Summer 2019 | LA-UR-19-29247

My Research &
Scientific Computing

The skills in this section are rated based on number of years of experience evaluated over an interval of last ten years. For example, a skill rated as 50% reflects 5 years of experience in the last 10 years.


Scientific Programming

Programming knowledge that helps in numerical modeling and development
01. -




CFD Tools, Modeling and Simulations

Flow solvers and utilities for numerical study
02. -

Design and Graphics

Creative design and visualization utilities/applications
03. -

Adobe Illustrator/InDesign




& Testimonials

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