Sreenath Swaminathan
Bis 2023, Working Student, Aptiv Services Deutschland GmbH
Wuppertal, Deutschland
Über mich
* Master Student skilled in programming languages like C/C++, MATLAB, Python, and Java, with expertise in frameworks such as TensorFlow, PyTorch, and OpenCV. Experienced in applying these skills to develop innovative solutions for autonomous driving and ADAS. * Proficient in simulation software including CARLA and CarMaker, as well as design tools like SOLIDWORKS and ANSYS. Familiar with ROS (Robot Operating System) for robotics applications. * Strong background in machine learning algorithms, computer vision, and deep learning techniques. Specialized in Convolutional Neural Networks, Random Forest, and other cutting-edge methodologies for intelligent perception and decision-making in automotive systems.
Werdegang
Berufserfahrung von Sreenath Swaminathan
1 Jahr, Sep. 2022 - Aug. 2023
Working Student
Aptiv Services Deutschland GmbH
- Experienced in developing a user-defined Vehicle Dynamics Library, integrating the Carla simulator, resulting in enhanced control and simulation accuracy. - Implemented YOLOv3 computer vision techniques for significant improvements in object detection. - Created realistic traffic scenarios, leveraging ASPICE standards, ensuring accurate simulations. Conducted extensive testing and validation, achieving 95% accuracy rate, and adhering to project specifications in CarMaker simulator.
- Examined Parallel-in-time simulation in MGRIT technology, focusing on electromagnetic transient and dynamic phasor. - Created 3 mathematical models for electric power system prototypes using PyMGRIT, resulting in 10% improved computational efficiency. - Estimated speedup and convergence using parareal solvers, achieving a 27% decrease in computational time. - Applied multi-level hierarchy for complex numerical experiments, examining overlapping parareal algorithm in 2 scenarios.
9 Monate, Jan. 2020 - Sep. 2020
CAD Engineer
EGS Computers
- Designed and developed CAD models using SOLIDWORKS to meet customer requirements. - Devised customization tools in VB.Net and Python to enhance product efficiency, resulting in an estimated 88% increase. - Conducted training sessions on customization in VB.Net for SOLIDWORKS and fundamental concepts in AI, including CNN, Random Forest, SVM, and basic AI/ML principles.
1 Jahr und 5 Monate, Juni 2018 - Okt. 2019
Assistant System Engineer
Tata Consultancy Services Ltd
- Analyzed global stability of AVIVA Insurance portal, ensuring seamless platform interactions via agile principles. - Enhanced client-server web apps with Java for added functionalities and improved reliability. - Developed web services with API protocols, focusing on technical excellence and smooth deployment. - Effectively managed customers, providing reliable guidance and leveraging AWS for efficient database management.
Ausbildung von Sreenath Swaminathan
Bis heute 3 Jahre und 7 Monate, seit Nov. 2020
Computer Simulation in Science
Bergische Universität Wuppertal
The Computer Simulation in Science Master's program emphasizes numerical analysis, computer simulation, image processing, programming, and parallel computing. Students gain extensive knowledge and hands-on experience in utilizing simulations to tackle complex scientific challenges. This program fosters innovation and equips students with the skills needed for cutting-edge research and problem-solving in diverse scientific domains.
3 Jahre und 11 Monate, Juli 2014 - Mai 2018
Mechanical Engineering
SASTRA University
Sprachen
Englisch
Muttersprache
Deutsch
Gut