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Hi there, I'm Rahul SinghπŸ‘‹


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I'm an Machine learning Engineer and Data Scientist who is passionate about cutting-edge technology and solving real-world problems, with experience in Machine learning, Deep learning, and Generative AI.

πŸ”­ I am Currently working as Machine learning Engineer & Data Scientist 

🌱 I’m currently Learning GenAI,LLMs,RAG,MLOps 😎.

πŸ‘― I’m collaborator of opensource ML projects and looking for more collaboration.

πŸ₯… 2024 Goals: Dive deeper into the realms of Gen AI, Deep Learning, NLP, and Time Series Analysis. I aim to conduct extensive applied research, transforming innovative ideas into production-ready solutions that make a tangible impact on real-world challenges.

⚑ Fun fact: I love to code and solving problems. 

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⚑ Technologies I use

Python

Jupyter

TensorFlow

Pytorch

Scikit Learn

FastAPI

Docker

Important Repository

πŸ’Ύ Seq2seq AI Chatbot with attention mechanism - πŸ”—


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Rahul Singh's Projects

2018aicity_teamuw icon 2018aicity_teamuw

Source code of the winning method in Track 1 and Track 3 at the AI City Challenge Workshop in CVPR 2018.

aipnd icon aipnd

Code and associated files for the AI Programming with Python Nanodegree Program

awesome-cv icon awesome-cv

Awesome CV is LaTeX template for your outstanding job application

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

camera-feed-object-detector-tf-serve icon camera-feed-object-detector-tf-serve

Camera feed detecor using Tensorflow Detection API on a Tensorflow Serving Docker container. There is also a version using only YoloV3 to detect objects. All models are from the model zoo from Tensorflow and Darknet, these models are trained on the coco dataset.

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