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Hi there! I am Ayushman

  • I am currently a Master's student at RWTH Aachen in Robotic Systems Engineering
  • I work as a computer vision engineer (working student) at Schmiede.one
  • Currently I am also working on my master thesis on Multimodal 3D Object Detection for Autonomous vehicles and another voulantary project on Domain Adaptation for LIDAR Object Detection at Institut fΓΌr Kraftfahrzeuge - RWTH Aachen

Have a look at my website!

Skillsets:

  • Languages: Python , C++
  • Frameworks and Libraries: ROS, Pytorch, Numpy, Pandas, ONNX, Tensorflow, OpenCV, TensorRT ,CUDA
  • Developer Tools: Git, Docker, VS Code, Conda, CMake, Gazebo, RViz
  • OS: Linux

Ayushman Choudhuri's Projects

ai-ideation-assistant icon ai-ideation-assistant

Sokrates is a AI ideation assistant to suggest AI use cases for SME companies in the automotive sector. This was built in collaboration with few students from TU Munich during the TUM AI Makeathon

rwth_reinforcement_learning icon rwth_reinforcement_learning

This repository contains all the Assignments worked on in the course Reinforcement Learning and Learning based Control

terrawatch icon terrawatch

TerraWatch is a proof of concept system developed during the TUM AI Hackathon 2024 to detect deforestation from satellite images and reason out the causes and potential environmental effects using computer vision models and multimodal large language models.

transformer_from_scratch icon transformer_from_scratch

This repository is a implementation of the original "Attention is all you need" paper from Google. Tensorflow and associated tools have been used for the implementation

unet_segmentation_from_scratch icon unet_segmentation_from_scratch

This is the implementation of the original UNet Architecture with some optimizations. The datasets being used for binary image segmentation is the Carvana dataset and for multiclass segmentation on the Cityscape dataset is being added

yolov5-deepsort icon yolov5-deepsort

The YOLOv5 DeepSORT GitHub repository is an open-source project for real-time object tracking using the YOLOv5 and DeepSORT algorithms. The code is written in Python using PyTorch

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