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Hi there, I'm Shivam! 👋

I'm a Data Scientist with a passion for exploring AI models and pushing the boundaries of technology. I started coding early on, which sparked my journey into Computer Science. After earning my Bachelor's degree, I've spent the past year diving deep into Data Science and Machine Learning in the tech sector. I'm passionate about sharing my technical insights and love solving complex challenges with innovative ideas. Inspired by the Japanese concept of Kata, I believe in thoughtful, continuous improvement and driving impactful innovation.

What I Do:

  • 🔭 Exploring the frontiers of AI research to push boundaries further.
  • 🌱 Constantly learning and implementing new techniques in AI and machine learning.
  • 📚 Reading AI research papers and insightful blogs to stay updated with the latest advancements.

My Interests:

  • 🧠 Unraveling the mysteries of AI models' behavior in complex spaces.
  • 💡 Brainstorming innovative ideas to test and enhance AI functionalities.
  • 📊 Analyzing data with a curiosity-driven mindset to extract meaningful insights.

Technologies I Enjoy:

  • 💻 Python, TensorFlow, PyTorch for developing AI models.
  • 🤖 Langchain, HuggingFace, Roboflow, Ollama, LLMs, Groq for enhancing model capabilities.
  • ☁️ AWS for scalable cloud solutions.
  • 🐳 Docker for containerized deployments.
  • 📊 SQL for effective data management.
  • 🌐 Streamlit for building interactive data applications.

Connect with Me:

Fun Fact:

Did you know? I believe that AI holds the key to unlocking endless possibilities in our future!

Let's innovate and shape the future together through AI. Feel free to reach out and let's explore the world of artificial intelligence!

Shivam Chhetry's Projects

cs231n-2017-summary icon cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

handling_imbalanced_dataset icon handling_imbalanced_dataset

This project is about how you can deal with imbalanced data and which performance metrics' particularly important compared to usual practices with fairly balanced data.

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