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pranav-singh-rathore/README.md

Hi, I'm Pranav Singh Rathore

M.Sc. Computer Science · Embedded Systems · Edge AI · Full-Stack

Fleißig · Motiviert · Umgänglich · Schlagfertig · Findig · Eigeninitiativ · Programmierer

Portfolio LinkedIn Email Location

Tech stack

Languages

C C++ Python JavaScript TypeScript Java SQL

Embedded & systems

FreeRTOS STM32 CAN Bus ARM Raspberry Pi Embedded Linux

AI / ML

PyTorch TensorFlow Lite OpenCV XGBoost scikit-learn YOLOv8

Full-stack & cloud

React FastAPI Docker MongoDB CI/CD

Highlights

Area Proof
Edge AI ARM edge analytics · 22 FPS object detection @ 3.5W · sub-50ms inference
ML Research XGBoost AUC 0.98 · peer-reviewed publication (2025)
Full-Stack 10,000+ API calls/day · 99.9% uptime microservices
Embedded FreeRTOS · CAN 2.0B · I²C/SPI/UART · STM32

Featured projects

Project Stack Key metric
Maintenance-Strategy XGBoost · scikit-learn AUC 0.98 · published paper
PredictIQ PyTorch · MQTT · Grafana LSTM anomaly detection on edge
EdgeVision C++ · TFLite · YOLOv8 22 FPS on Raspberry Pi 4
CANalyzer-OS FreeRTOS · STM32 · CAN 1 Mbps · <2ms jitter

Currently Software Developer (Working Student) at Advercharge GmbH — edge analytics, C++ firmware & ML on ARM.

Open to Werkstudent roles in Munich · Stuttgart · Nürnberg · Regensburg · Dresden · Embedded · Full-Stack · AI/ML

📄 Portfolio · Resume PDF

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  1. canalyzer-os canalyzer-os Public

    FreeRTOS CAN 2.0B bus logger and analyser for STM32F4 with Python/Grafana dashboard

    C

  2. edgevision edgevision Public

    Real-time object detection on embedded Linux — YOLOv8, TensorFlow Lite, OpenCV, ARM benchmarks

    Python

  3. Maintenance-strategy Maintenance-strategy Public

    Change of maintenance strategy affecting the effectiveness of maintenance

    Jupyter Notebook

  4. predictiq predictiq Public

    Edge predictive maintenance with LSTM autoencoder anomaly detection, MQTT telemetry, and Grafana dashboards

    Python