About Me
Currently pursuing an M.Sc. in Embedded Systems Engineering at University of Freiburg. Passionate about embedded development, image processing and machine learning.
Experience
Work Student – ECOSENSE, IMTEK, Uni Freiburg
Sep 2024 – Present- Designed and laid out PCBs using Eagle; assembled and soldered components.
- Firmware flashing and testing using Keil uVision; verified signal processing and comms.
Student Assistant – Fraunhofer ISE, Freiburg
Dec 2023 – Jun 2024- Built defect-detection pipeline with OpenCV, PIL, NumPy and SciPy; boosted accuracy to 99.4 %.
- Collected data from 3D laser microscope (LEXT) to optimise solar-cell finger-line printing.
Projects
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MSP430 Microcontroller Projects
LED toggling, ADCs, interrupts, WDT resets, task management via preprocessor.
GitHub -
Predictive Model for Academic Performance
End-to-end ML pipeline with Ridge, CatBoost; deployed via Flask on AWS CI/CD.
GitHub -
Railway-track Defect Detection
OpenCV and YOLOv8 for crack and corrosion detection; real-time alerts to maintenance teams.
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“Prediflex” Smart Insole (Coursework)
Energy-harvesting microcontroller insole for pediatric gait analysis; piezoelectric sensors and wireless comms.
GitHub
Hands on skills
Programming
Python, C, Embedded C
ML & Vision
OpenCV, YOLOv8, TensorFlow, TinyML, NumPy, SciPy
Embedded
MSP430, ESP32, Raspberry Pi; PCB design, soldering, sensor integration
Tools
AWS, Docker, Flask, Git, Keil uVision, MATLAB, VS Code
Publications
- “Autonomous Delivery Vehicle Using Raspberry Pi and Computer Vision,” PCCDA’23 (Springer), 2023.
Contact
Email: chandrikasethu06@gmail.com
Languages: English (C2), German (A2)