Vasu Jaganath
About Vasu Jaganath
Vasu Jaganath is a Senior Software Engineer specializing in turbulent combustion and non-premixed combustion, currently working at Axle Informatics. He has a strong academic background with a PhD in Mechanical Engineering from the University of Wyoming and extensive experience in software development and optimization.
Work at Axle Informatics
Vasu Jaganath has been employed at Axle Informatics as a Senior Software Engineer since 2024. In this role, he operates remotely from the Greater Boston area. His responsibilities include applying his expertise in turbulent combustion and non-premixed combustion to various projects within the company.
Education and Expertise
Vasu Jaganath earned a Doctor of Philosophy (PhD) in Mechanical Engineering from the University of Wyoming, where he studied from 2015 to 2020. He also holds a Master's degree in Aerospace, Aeronautical, and Astronautical Engineering from the Indian Institute of Technology, Kharagpur, completed from 2007 to 2012. His academic background supports his proficiency in computational fluid dynamics (CFD) and fixed point arithmetic.
Background
Vasu Jaganath has a diverse professional background, having worked in various roles across multiple organizations. He served as a Graduate Research Assistant at the University of Wyoming from 2015 to 2020 and as a Graduate Research Intern at Los Alamos National Laboratory for three months in 2019. His early career included positions at Wipro Limited and the Indian Institute of Technology, Bombay.
Professional Experience
Vasu Jaganath has held several significant positions in software engineering and research. He worked as a Lead Software Engineer at Cadence Design Systems from 2022 to 2023 and spent two years as an Infrastructure Software Developer at MathWorks from 2020 to 2022. His experience also includes a summer internship at CD-adapco in 2010 and a role as a Junior Research Associate at IIT Bombay from 2013 to 2015.
Technical Skills and Specializations
Vasu Jaganath possesses a range of technical skills relevant to his field. He is proficient in using OpenFOAM and C++ programming, and has experience with copula modeling, inverse design using neural networks, and high-performance computing on heterogeneous platforms. His expertise extends to multi-objective optimization, software memory and performance testing, monte-carlo simulations, and stochastic processes.