CV

Education

• M.S. Mechanical Engineering, University at Buffalo (SUNY), 2024
• B.S. Aeronautical Engineering, JNTUH, 2018

Skills

• Programming
  • C/C++, Fortran, Python, Matlab, NumPy, SciPy, MatplotLib, Cantera (Chemical Kinetics), Linux, Bash, High Performance Computing, MPI, Intel MKL, PetSc, GitHub, AI/ML, PINN, PyTorch, CUDA
• Design Platforms
  • AutoCAD, Catia V5, Creo, Solidworks, NX CAD, Fusion 360
• CAE Platforms
  • OpenFOAM, Paraview, Ansys Fluent, Ansys CFX, STAR-CCM+, Chemkin Thermal Desktop, ANSA
• Technical Skills
  • MS Office Suite, LaTeX, NI LabVIEW, Combustion Diagnostics, Design of Experiments

Work experience

• Research Volunteer: Central Michigan University

  Mount Pleasant, MI (Aug 2024 – Present)

  • Developing a PINN model for 2D buoyancy-driven flow using Boussinesq and Navier-Stokes equations, leveraging Python and DeepXDE to ensure accurate computational analysis
  • Optimizing model performance by comparing data generation techniques, demonstrating how Latin Hypercube Sampling achieves 1000x greater accuracy than uniform methods, leading to more reliable simulation results

• Research Assistant: CET Laboratory

  University at Buffalo (SUNY) (Aug 2022 - Jul 2024)

  • Conducted comprehensive research using Python and Matlab for data analysis, applying filtering techniques to optimize measurement techniques for residential wood stoves, increasing testing accuracy.
  • Formulated and validated a catalytic chemistry sub-system using Python and Cantera, leveraging reactor network modeling and kinetic simulations, and CFD analysis, optimizing energy efficiency and reducing emissions.
  • Mounted and calibrated thermocouples, airflow sensors, and emissions gas analyzers; recorded and analyzed data using LabVIEW for accurate combustion diagnostics and system performance evaluation.

• Project Associate: TDCE

  IIT, Madras (Jan 2020 - Mar 2022)

  • Developed a comprehensive study on Biodiesel combustion processes using chemical kinetics and combustion modeling, and CFD analysis focusing on unsaturation levels, increasing combustion efficiency in laboratory tests.
  • Contributed to the Surrogate Model Development for Karanja Methyl Esters (KME) focusing on enhancing combustion characteristics and emissions profiles for biodiesel fuels through kinetic modeling and CFD.
  • Developed a Python-based tool for surrogate fuel calculations, which computes approximate mole fractions based on functional group and property group targets, streamlining the biodiesel combustion modeling process.

Projects

• 2D Shock-Vortex Interaction

  • Implemented MacCormack and Rusanov schemes in Python across three grid resolutions, comparing 2D isentropic shock-vortex interaction at varying Mach numbers.
  • Analyzed vortex behavior using enstrophy and vorticity measures, with MacCormack demonstrating a 15% improvement in accuracy over Rusanov for vortex-shock interactions.

• Custom OpenFOAM Solver for Scalar Transport

  • Developed a custom icoFoam solver in C++ for passive scalar transport, achieving benchmark validation through the Lid-driven Cavity test case
  • Achieved 15% performance improvement over benchmarked cases by parallelizing simulations across multiple processors

• Case Study On Velocity-Pressure Coupling in FVM Solvers

  • Implementing SIMPLE algorithm using C++ and FORTRAN for velocity-pressure coupling in incompressible fluid flow, evaluating computational efficiency, convergence, and numerical stability
  • The objective is to validate solver accuracy against benchmarks and visualize flow fields using Python, providing insights into solver performance for CFD-driven design applications

• MPI-Based Parallel Computation for Mandelbrot Set Area Estimation

  • Implemented MPI-based C++ program to estimate the Mandelbrot set’s area, optimizing computational efficiency by dividing the domain into subdomains and distributing workload across multiple cores
  • Analyzed load balancing and performance scaling, demonstrating improved computational speed with multi-core execution while evaluating efficiency trade-offs between vertical and horizontal domain partitioning

• 2D Heat Conduction Case Study

  • Designed MATLAB-based solvers to simulate 2D heat conduction by implementing varied finite difference methods for thermal energy transfer modeling
  • Demonstrated the computational advantages of the Successive Over-Relaxation (SOR) solver over traditional methods,under varying boundary conditions, improving solution efficiency for large-scale heat transfer problems

Publications

• Comparison of Wall Temperatures on Scramjet Inlets at Hypersonic Velocities

  Punlished in the International Journal of Mechanical and Production Engineering Research and Development (IJMPERD) in 2018.

Teaching

• MAE 423: Introduction to Propulsion

  University at Buffalo (SUNY) (Spring 23)

  • Assisted with proctoring exams, managing grades, preparing homework, and solutions
  • Conducted office hours to meet and assist students with assignment and/or help them with conceptual issues considering the material covered during lectures.

Activities And Certifications

• Interned and had hands-on training on basic aircraft components especially Engines of Airbus A321 and ATR 72 aircrafts in 2018.
• Completed training on OpenFOAM development, advanced numerical simulations (MATLAB, OpenFOAM), and combustion techniques (Python, Cantera) through Skill-Lync, along with NPTEL certification in Finite Volume Methods for CFD.
• Mentored at a Non-Profit Organization Make A Difference (MAD) for underprivileged children providing a fundamental platform for skill-building, self-awareness, and career awareness in innovative ways. Have first hand experience in conducting and managing events for Fundraising by engaging the community to donate for a cause in 2016.
• Conducted guitar workshops for aspiring musicians, training over 40 students on techniques and music theory; Received positive feedback from 90% of participants, showcasing the effectiveness of tailored instructional methods.