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Achievement: Pull Shark

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abhikalparya/README.md

Hi there, I'm Abhikalp Arya! 👋

👨‍💻 About Me

I'm an AI/ML Engineer with nearly a year of hands-on experience building intelligent systems—from data collection and model development to deployment and integration. I specialize in Natural Language Processing, Computer Vision, and building end-to-end ML pipelines.

With a background in Computer Science & Data Science, and real-world experience in chatbot development, model fine-tuning, and cloud deployment, I’m always looking to push the limits of what machines can do.

🔍 Currently exploring LLMs, RAG pipelines, LangChain, and AI Agent frameworks to build smarter, context-aware applications.

🚀 I love tackling new challenges, working on meaningful projects, and collaborating with people who are just as curious about AI as I am.

📫 Let's Connect

LinkedIn Twitter Gmail

💡 Core Skills as an AI/ML Engineer

Machine Learning Deep Learning Natural Language Processing LLMs RAG LangChain AI Agents Computer Vision Data Preprocessing Model Deployment API Development Prompt Engineering Cloud & DevOps ML Ops

⭐️ Thanks for visiting my profile! Feel free to connect or check out my work!

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  1. abhikalparya abhikalparya Public

    Unlocking insights and solving problems through data-driven approaches📈 | Seeking Data Science/Data Analyst Intern roles📢

    1

  2. FarmEasy FarmEasy Public

    FarmEasy🌾 is a web application that uses machine learning to predict the best crop to grow in a particular season. The application takes into account the soil, temperature, humidity, ph value and r…

    Python 3 1

  3. StudyBuddy StudyBuddy Public

    StudyBuddy is a web application that allows students to find study partners for any topic of their choice. The application is built using the Django framework and is deployed on Azure.

    HTML 3

  4. cricket-data-analytics cricket-data-analytics Public

    The Cricket Data Analytics🏏 project is made on T-20 Cricket World Cup data using Power BI.

    Jupyter Notebook 15 12

  5. olympic-eda olympic-eda Public

    The 📈EDA is performed on the 120 Years Olympics Dataset to gain some insights into the data and to answer some questions that are raised in the process of EDA.

    Jupyter Notebook 1

  6. portfolio portfolio Public

    CSS 1