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ADIVADER19/README.md

Hi 👋, I'm Advait Nurani

A passionate Full Stack Developer and a Master's student in Computer Science at George Washington University.

      Portfolio         LinkedIn         Gmail  

🌱 What I’m Currently Focused On I am currently pursuing my Master of Science in Computer Science, with a focus on cutting-edge topics.

Academics: Deepening my knowledge in Machine Learning, Cloud Computing, and advanced Data Structures & Algorithms.

Personal Development: Exploring Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architecture, and scalable system design.

Looking for: Full-time and co-op opportunities in Software Engineering, Full Stack Development, and Machine Learning roles.

🛠️ Languages and Tools

    Languages & Databases:

    Python     JavaScript     TypeScript     Java     C#     C++     Rust     HTML5     CSS3     MySQL     PostgreSQL     MongoDB

    Frameworks & Libraries:

    React     Next.js     Node.js     Express.js     Angular     .NET     Flask     FastAPI     PyTorch     GraphQL     Pandas     NumPy     Scikit-learn

    Cloud, DevOps & Tools:

    AWS     Docker     Firebase     Git     GitHub     Jira     Postman     VS Code

🚀 My Featured Projects 🤖 RentRadar - AI Real Estate Assistant Engineered a full-stack AI-powered real estate CRM using FastAPI, React.js, and MongoDB, integrating OpenAI GPT-4 for intelligent property search and customer interaction.

Implemented a RAG (Retrieval-Augmented Generation) architecture with FAISS and LangChain for semantic document search, enabling real-time property matching from 1000+ commercial listings.

Architected a secure, JWT-based authentication system with role-based access control and Google OAuth via Firebase.

📝 SummaSense - AI Summarization Web App Built a multilingual AI summarization tool with Flask and NLP, featuring RESTful APIs for scalable cloud deployment.

Reduced execution time by 50% by pre-processing datasets and analyzing over 10 abstractive and extractive models.

Leveraged AWS S3 and Transcribe to build a robust pipeline for high-accuracy speech-to-text conversion.

🎓 Institute Management System (IMS) Constructed a comprehensive portal for 5,000+ students with a microservices architecture using Node.js, Express.js, Next.js, and MySQL.

Designed a SQL database with 14 tables to manage over 50,000 records, with 30+ optimized queries to automate resume generation and reporting, improving performance by up to 50%.

Ranked in the top 10 out of 725 entries at the CiiA-2 Innovations Exhibition.

💼 Professional Experience Full Stack Developer Intern | Cognizant

(Nov 2023 - May 2024)

Engineered scalable backend services with .NET Framework and responsive front-end interfaces with Angular, improving system performance by 50% by implementing RESTful APIs.

Conducted code reviews, applied software engineering best practices, and participated in an Agile SDLC to ensure code quality and efficient CI/CD.

Software Developer Intern | RAIT-ACM

(Dec 2021 - Jan 2022)

Developed a live polling website using WebSockets for real-time updates, which reduced database calls by 70% and boosted performance by 50%.

Set up a CI/CD pipeline using GitHub Actions, integrating automated testing and deployments, which reduced release time by 40% and contributed to securing 1st place in the internship project.

⚡ Fun Facts Huge Star Wars fan (The Empire Strikes Back is a masterpiece!)

Passionate chess player. Always up for a game!

Paleo nerd and a big Barca fan.

Competitive Pokemon player.

📊 My GitHub Stats

  adivader19's GitHub stats

  adivader19's Top Languages p>

  adivader19's GitHub streak

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