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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

giriraj.pawar2012@gmail.com

LinkedIn

Credits

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

Giriraj Pawar's Projects

adv-eval-paper icon adv-eval-paper

LaTeX source for the paper "On Evaluating Adversarial Robustness"

advanced-lane-lines icon advanced-lane-lines

A pipeline that can detects lane boundaries, predicts upcoming curves, and measures lane curvature.

awesome-cv icon awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

bitcoin icon bitcoin

Bitcoin Core integration/staging tree

carla icon carla

Open-source simulator for autonomous driving research.

conv_arithmetic icon conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cs228-material icon cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

cyclegan-1 icon cyclegan-1

A simple code of CycleGAN which is easy to read is implemented by TensorFlow

cyclegan-2 icon cyclegan-2

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

datacamp_facebook_live_ny_resolution icon datacamp_facebook_live_ny_resolution

In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym' and 'finance' to see how they vary over time.

deepface icon deepface

Keras implementation of the renowned publication "DeepFace: Closing the Gap to Human-Level Performance in Face Verification" by Taigman et al. Pre-trained weights on VGGFace2 dataset.

docs icon docs

TensorFlow documentation

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