Here is some more information about me and my background:
I have a strong affinity towards data. I especially enjoy understanding trends and patterns that may not be evident to most people.
I am extremely adaptable and am always teaching myself new concepts to solve evolving problem statements.
I have had to develop strong communication skills to transcend language barriers. Speaking, writing and networking skills are my biggest strengths.
June 2023 - present Measurement Solutions Pvt. Ltd., Hyderabad
Consulting Engineer
Handling the distribution product team with a focus on understanding applications and providing complete system solutions for sensor technologies in India
Consulting specifically on technologies relating to Structural Health Monitoring and Flow measurement across various application fields like Aerospace, Automotive, Defence and Infrastructure
Successfully completed the installation of Wireless SHM Systems at Bengaluru International Airport
Jun 2020 - Dec 2022 Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Research Associate
Worked on the project "Hydrogen in the Gas Network", which was funded by both Government entities as well as prominent private corporations located within Germany (Daimler, Bosch etc).
Major work involved understanding the feasibility and risks involved to combustion engines in adding upto 30% H2 into CNG pipelines.
Conducted study on the changes to power, efficiency and emissions with a focus on the phenomenon of engine knocking.
Additionally surveyed the possibility of Hydrogen and HCNG storage on board.
From June - Dec 2022 worked on the TransHyde Norm project, which involves generation of a database for standards relating to Hydrogen transport, with a specific focus on liquid Hydrogen.
Apr 2018 - Mar 2019 Toyota Motorsport GmbH, Cologne, Germany
Master Thesis
Thesis title: Development of a Black-Box Model and Algorithm to Estimate Turbulent Combustion Parameters.
Conducted optimization of Engine combustion parameters using GT-Power
Generated large amounts of simulated engine data (upto 70000 individual engine parameters)
Utilized Gaussian Process regression to generate predictive functions for the necessary output conditions based on user defined engine operating conditions using ETAS-ASCMO.
Developed optimization algorithm and user-friendly GUI based on the predictive functions in MATLAB
Tested and validated results on 5 commercial and production engines and 1 concept engine from Toyota's portfolio
Developed software could theoretically streamline the engine optimization process from 3 weeks to under one week and result in cost savings upto 20000€ per engine optimized.
Jan 2018 - Mar 2018 Shockwave Laboratory (RWTH Aachen), Aachen, Germany
Student Assistant
Design and discretization of a convergent-divergent turbine nozzle model with ANSYS Fluent.
Fluid dynamic analysis of the wall temperature profile for high temperature gas flow in turbine nozzles.
Feb 2018 - Mar 2018 Student Assistant
Institute for Technical Combustion (RWTH Aachen), Aachen, Germany
Investigation of the influence of different parameters on the flamelet speed in laminar premixed flames with Flamemaster
Specialization in Production.
ETAS-ASCMO (Black-Box)
GT-SUITE & GT-POWER
Ansys (Workbench & FLUENT)
Solidworks
ANSA
Web design (Wix)
MS Office
Photoshop
Python
MATLAB
English (Fluent)
Hindi (Fluent)
Telugu (Mother tongue)
German (Business proficient)
