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MasterHead

Hi , I'm Utkarsh Mathur

I am Utkarsh, a passionate and creative developer from 🇮🇳  with a strong interest in Computer Vision🤖 and DevOps⚙️.

👨‍💻 As a Kaggle Notebook Master with over 2 years of experience working in the domain of Data Science and Cloud-Native technologies, I am highly proficient in building robust, secure, and scalable infrastructures using tools such as Kubernetes, Docker, AWS, Azure, CI/CD, etc. I am also skilled in metric collection and monitoring tools.

🏆 I have contributed to several high-profile open-source projects, including @meshery, @Tensorflow, @Docker, and more. Additionally, I have actively contributed to open-source organizations such as @PyData Guna, and @Aviyel India. I have also participated in several Kaggle competitions, Hackathons, and conferences, earning a reputation as a top performer and an innovative problem solver.

🤝 I am always looking to connect with like-minded professionals and learn from new experiences. Feel free to reach out to me on LinkedIn, and let's explore how we can work together to build a better, more advanced tech ecosystem.

MathurUtkarsh

⚡ Skills

Databases

  

Cloud

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📫 How to reach me?

⦿ Visit my Website 🌐
⦿ Follow me on Kaggle👁️
⦿ Connect with me on LinkedIn 👨🏻‍💻
⦿ Follow me on Twitter 🐦
⦿ Shoot Me an Email 💌

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Utkarsh Mathur's Projects

accepted-gsoc-proposals icon accepted-gsoc-proposals

A repository containing links to accepted proposals for GSoC, Hopefully this helps someone write a better proposal and get accepted into the program

acconet icon acconet

[TCYB2022] [ACCoNet] Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images

ai-as-an-api icon ai-as-an-api

Learn to create & deploy a deep learning algorithm into a production REST API microservice using Python, Keras, FastAPI, & NoSQL.

anomaly-detection-using-pycaret icon anomaly-detection-using-pycaret

PyCaret’s Anomaly Detection Module is an unsupervised machine learning module that is used for identifying rare items, events or observations which raise suspicions by differing significantly from the majority of the data.

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

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