👋 Welcome! I'm Shikha Tiwari, a passionate Software Engineer who thrives on solving complex problems in robotics, software development, and algorithm design. Dive in to explore my journey, projects, and expertise!
- 🏡 Location: Petershausen, Germany
- ✉️ Email: shikha.tiwari6296@gmail.com
- 🌐 LinkedIn: Shikha Tiwari
- ✨ Hobbies: Travel & Photography, Building Electronics
- Languages: Python, Modern C++, Embedded C
- Tools & Frameworks: MATLAB, Simulink, ROS, OpenCV, PyTorch, RTOS, Git
- Specialties: Sensor Fusion, Optimization, Computer Vision, GTSAM, Optimal Control
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Master Thesis Student (Apr 2024 - Nov 2024) - MAN Truck and Bus SE, Munich, Germany
- 🚚 Designed an ego-motion estimation algorithm for truck cabins.
- 🛠️ Developed a cabin dynamics model with parameter optimization.
- 📊 Benchmarked performance under diverse driving scenarios.
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Student Intern (Feb 2024 - Apr 2024) - MAN Truck and Bus SE, Munich, Germany
- 🛠️ Evaluated state-of-the-art ego-motion estimation techniques using Bayesian Filters and Factor Graphs.
- 🚗 Simulated virtual driving scenarios using MATLAB/Simulink.
- 🧪 Validated ADTF measurement data for system testing.
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Working Student (Jul 2022 - Dec 2023) - TRUMPF GmbH, Freiburg, Germany
- 🖥️ Optimized C++ firmware for TI Sitara ARM processors.
- 🔄 Automated database management with Python scripting.
- 🔧 Implemented RPC mechanisms for debugging interfaces.
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Embedded Software Engineer (Aug 2018 - Aug 2021) - Robert Bosch Engineering, Bangalore, India
- 🛡️ Developed communication modules for airbag systems using Embedded C.
- 📈 Enhanced validation automation by 35% through custom APIs.
- 🧪 Conducted sensor testing and validated CAN, diagnostics, and bootloaders.
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M.Sc. in Embedded System Engineering - University of Freiburg (Oct 2021 - Nov 2024)
- GPA: 1.8 / 6.0
- Relevant Coursework: Mobile Robotics, Computer Vision, Deep Learning, Embedded Systems
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B.E. in Electronics and Telecommunication - MKSSS's Cummins College of Engineering (Aug 2014 - May 2018)
- Percentage: 79.4%
- Time-Optimal Automated Parking: Precision maneuvering with control algorithms.
- Miniature Autonomous Race Car Controller: Model predictive control for lap optimization.
- 3D Mapping using RGB-D SLAM: Created detailed maps with Graph SLAM techniques.
- 🎓 ROS2 for Beginners - Udemy
- 🤖 Machine Learning Certification - Simplilearn
✨ Explore my repositories, and feel free to reach out if you're interested in collaborations or feedback.
Let's build something amazing together! 😊