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RaghuRaikar/README.md

Hi πŸ‘‹ I'm Raghavendra Raikar

πŸŽ“ B.S. Computer Science, Math Minor @ UC Santa Cruz
πŸ€– Focused on AI, NLP, and Full-Stack Development
πŸ›°οΈ Interned at NASA, UXLY, Beau, & Kitu Systems
πŸ“Œ Currently building PlayPicks, an AI-powered sports analytics chatbot
✍️ Open-source contributor & technical writer on Medium


πŸ”§ Tech Stack

Languages

Python C C++ Java JavaScript SQL Flutter Swift TypeScript

Frameworks

React Node.js SpringBoot Streamlit Django Flask Langchain FastAPI

Developer Tools

Git Docker Azure AWS GCP Linux CI/CD Kubernetes


πŸ”₯ Current Projects & Interests

  • πŸ€– PlayPicks – AI-powered chatbot for sports analytics using GPT-4 and LlamaIndex
  • ✍️ Writing about AI, NLP, and Software Engineering on Medium
  • 🧠 Exploring LLMs, RAG pipelines, and autonomous agents
  • 🌐 Contributing to open-source AI/ML projects and research pipelines

πŸ“« Let’s Connect

LinkedIn
GitHub
Medium

Pinned Loading

  1. Movie-Review-Sentiment-Classifier Movie-Review-Sentiment-Classifier Public

    This project implements Naive Bayes and Logistic Regression models to classify movie reviews as positive or negative. The program processes a dataset of labeled movie reviews, extracts key features…

    Python

  2. N-Gram-Language-Modeling N-Gram-Language-Modeling Public

    This project implements n-gram language models (unigram, bigram, and trigram) with additive smoothing and linear interpolation to analyze and generate probabilistic language models. The goal is to …

    Python

  3. Neural-Network-Based-NLP-Classifier Neural-Network-Based-NLP-Classifier Public

    Text Classification & Named Entity Recognition with RNNs, LSTMs, and Viterbi Algorithm

    Python

  4. PlayPicks PlayPicks Public

    Forked from christapi2099/chatsupport

    PlayPicks: AI-powered sports betting chatbot using LlamaIndex (RAG) and GPT-4 for real-time odds, AI predictions, and personalized insights.

    JavaScript

  5. Titanic-Survival-Prediction Titanic-Survival-Prediction Public

    This project applies machine learning techniques to predict passenger survival on the Titanic.

    Jupyter Notebook

  6. PantryPal-1/pantry-recommender PantryPal-1/pantry-recommender Public

    Python