
David Venus Paul Inti
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von David Venus Paul Inti
- 9 Monate, Juni 2023 - Feb. 2024
Master Thesis at DLR Institute for Technical Thermodynamics
Deutsches Zentrum für Luft- und Raumfahrt / German Aerospace Center (DLR)
•Developed a multi-domain model of a PEM fuel cell system using OpenModelica and MATLAB, which simulates the behaviour and performance of key subsystems such as the anode, cathode, cell stack, and coolant. •Established mathematical relationships between each subsystem and created a balance of plant to ensure the best functioning and efficiency of the fuel cell system. •Integrated the model into Dymola along with the vehicle digital twin for a comprehensive analysis and testing of the combined systems.
- 6 Monate, Okt. 2022 - März 2023
Internship - Hardware-in-the-Loop (HiL)
Porsche Engineering
•Developed a Python script that facilitates the verification of the authenticity of data transferred between ECU and other attendees on the bus by means of SipHash, which enhances communication security by reducing the risk of data tampering. •Aided the functional validation of pulse inverter, transmission, all-wheel drive, and differential lock control units by conducting reviews of test results and providing feedback. •Contributed to manual test executions using ControlDeskNG and CANape software tools.
•Aided students with laptop setup and troubleshooting, ensuring that they had the tools they needed for their academic success. •Administered the university’s VPN certificate program using Java Development Kit (JDK), ensuring that students had secure and compliant access to university resources.
Ausbildung von David Venus Paul Inti
- Bis heute 3 Jahre und 9 Monate, seit Sep. 2021
Mechatronics
Hochschule Ravensburg-Weingarten
Autonomous Mobile Robot Using ROS: •Designed a 5-wheeled robot using FUSION360, exported ‘dae’ files for Gazebo simulation. •Developed ROS speed controller package for linear, circular & triangular movements. •Set up joint and link properties in the ‘xacro’ file for simulation. Wireless Pi to Pi Communication: •Enabled client/server communication for 2 ET1 rovers using Raspberry Pi. •Designed collision avoidance algorithm's with HR04 ultrasonic sensor.
- 4 Jahre und 1 Monat, Juli 2016 - Juli 2020
Mechanical Engineering
Gudlavalleru Engineering College
Sprachen
Telugu
Muttersprache
Hindi
Fließend
Englisch
Fließend
Deutsch
Grundlagen
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