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followers: 6.0 following: 15.0 repos: 91.0 gists: 1.0

Name: Giriraj Pawar

Type: User

Company: fusionsystems GmbH

Bio: I am an Artificial Intelligence enthusiast. Master in Embedded Systems from the Technical University of Chemnitz.

Twitter: rebelgiri

Location: Chemnitz

Blog: https://www.linkedin.com/in/rebelgiri/

Resume

🚴‍♂️ Introduction

I'm Giri, an avid Artificial Intelligence enthusiast with a keen interest in crafting and implementing AI/ML-driven solutions, leveraging the agile and scrum software development life cycle. 😊
I hold a Master's degree in Embedded Systems from the Technical University of Chemnitz, where my research focused on Unsupervised Learning and Generative Adversarial Networks. https://github.com/rebelgiri/thesis-domain-adaptation-of-synthetic-document-images-using-neural-networks
I am presently employed at Fusionsystems GmbH in Chemnitz, Germany, where my role involves overseeing automotive software development and testing while ensuring compliance with ISO 26262 and ASIL standards. Concurrently, I am engaged in collaborative projects with automotive software companies such as Cariad, FD Tech, and Intenta in the Saxony region.

🚅 Projects and Experiences

Predictive Maintenance project using Deep Learning and Vibration data for Condition Monitoring of Industrial Machinary 😍. https://github.com/rebelgiri/predictive-maintenance-using-deep-learning
A research project in the area of Multi-Object Multi-Camera Tracking for Pedestrians 😍.
Atively contributed to numerous C++ projects with a primary focus on Sensor Data Fusion. One notable example includes utilizing Bayesian Networks to estimate the driving direction of lanes.
Extensive work in C and C++ programming for Cross-Platform application development. I possess a strong grasp of the GNU Linux operating system, having served as a Linux System Programmer at renowned companies like Huawei Technologies and UST Global (deputed at Intel).

⛷️ Skills

Languages : C, C++ and Python
Tools : Git, JIRA and Confluence
Frameworks : Google Test, TensorFlow, Keras and PyTorch
Libraries : OpenCV, Scikit-learn and NumPy

🧘‍♂️ Professional Interests

C++ software development and unit testing using Google Test & gMocks
Computer Vision
Deep Learning and Machine Learning (PyTorch, TensorFlow and Keras)
Algorithms and Data Structures
Bayesian Networks and Predictive Filters like Kalman
Sensor data fusion

Credits

😊 I have created my profile by referring an article created by Lakshmanan Meiyappan.

Giriraj Pawar's Projects

ml-cvpr2019-swd

Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation. In CVPR 2019.

models

Models and examples built with TensorFlow

plotjuggler

The timeseries visualization tool that you deserve

predictive-maintenance-using-deep-learning

In this work, we use the Deep Learning model to build a classifier for the classification of the 3D vibration data.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

rcnn

R-CNN: Regions with Convolutional Neural Network Features

riot-web

A glossy Matrix collaboration client for the web.

sandbox-conversant-lib

Conversational AI tooling & personas built on Cohere's LLMs

sdc-p5

Udacity Self-Driving Car Project 5: Vehicle Detection and Tracking

self-driving-car-sim

A self-driving car simulator built with Unity

slidingdft

C++ library to compute the sliding discrete Fourier transform

sompy

A Python Library for Self Organizing Map (SOM)

sound-classification-on-raspberry-pi-with-tensorflow

In this project is presented a simple method to train an MLP neural network for audio signals. The trained model can be exported on a Raspberry Pi (2 or superior suggested) to classify audio signal registered with USB microphone