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Trups39/README.md

console.log("👋 Hello, I'm [Trupti Bhosale] 👨‍💻");

🎓 Syracuse University Master's in Computer Science 2024 🍊 | AI & Full-Stack Developer

💡 About Me 💡

const aboutMeContent = { intro: "My Master’s journey in Computer Science at Syracuse University has been a cornerstone of my passion for innovative problem-solving and programming 👩🏻‍💻🍊.",

expertise: I honed my expertise in full-stack development, cloud-native(AWS) solutions, microservices architecture, building AI models and end-to-end software delivery. My experience spans technologies like Java, Spring Boot, React, Redux, Next.js, ElasticSearch, JavaScript, Python, SQL, MongoDB, Jenkins, Node.js, Docker, and Kubernetes. I leveraged Agile methodologies and CI/CD pipelines to design and deploy scalable, efficient solutions ⚙️💻, always focusing on delivering high-quality, impactful products that meet real-world needs.,

craft: "Coding is more than a career—it's my craft and a gateway to driving impactful innovation 🚀.",

seekingOpportunities: "I’m actively seeking opportunities as a Full Stack Engineer, Software Engineer, FullStack AI Engineer or Backend Developer 🌱" };

What drives me? 🚀

  • Constantly learning 📚
  • Curiosity is my superpower 🕵️‍♂️
  • Persistence is key 🔑
  • Creative problem-solving 💡

⚙️ My Tech Stack ⚙️

Programming & Databases:

Java Python JavaScript TypeScript C++ Go HTML5 CSS3 MongoDB MySQL PostgreSQL Microsoft SQL Server

Frameworks/Libraries & Tools:

Spring Boot Spring MVC Hibernate React Next.js Node.js Express Apache Kafka JUnit Mockito Elasticsearch Git GitHub JIRA

Cloud, DevOps OS & Monitoring Tools:

AWS Docker Kubernetes Jenkins Datadog Splunk Postman Linux/Unix

Pinned Loading

  1. AI-Story-Builder AI-Story-Builder Public

    AI powered story builder SaaS app to create and share imaginative stories with AI-driven content and real-time image generation.

    TypeScript 3 4

  2. RAG-chatbot-using-Langchain RAG-chatbot-using-Langchain Public

    Build a production-ready RAG based AI LLM chatbot that can answer questions based on your own documents using Langchain.

    Jupyter Notebook 1 3

  3. Real-Time-Yelp-Review-Sentiment-Analysis-Pipeline Real-Time-Yelp-Review-Sentiment-Analysis-Pipeline Public

    About A real-time data pipeline project using Kafka, MongoDB, Elasticsearch, and PySpark. Streams raw data from Kafka, enriches it with sentiment analysis using Hugging Face models, stores results …

    Jupyter Notebook

  4. MicroServices-Project MicroServices-Project Public

    Architected a microservices-based e-commerce inventory platform using Spring Cloud, Kafka, and Circuit Breaker, with an event-driven architecture deployed on Kubernetes.

    Java

  5. Campus-Shuttle Campus-Shuttle Public

    Engineered a Java-based Safety Campus Shuttle application using the Model-View-Controller (MVC) design pattern to optimize night ride requests

    Java

  6. Crypto-News-Sentiment-Analysis Crypto-News-Sentiment-Analysis Public

    This project aims to perform sentiment analysis and forecasting market trends of cryptocurrency news headlines using various Natural Language Processing (NLP) techniques and machine learning models…

    Jupyter Notebook 2