- 🤖 AI/ML Intern at RegalRexnord
- ⚙️ Working on Generative AI and Frontend
- 🧠 Building intelligent systems using Machine Learning
- 🎨 UI/UX tinkerer using Figma
- 🎓 Background in Computer Science & Artificial Intelligence (B.Tech)
1. [Netflix Clone]
- Tech Stack: React.js, Tailwind CSS, Redux
- Developed a frontend Netflix-style streaming platform clone.
- Features include:
- Browsing, searching, and seamless content streaming.
- Responsive design ensuring cross-device compatibility.
- Role: Designed and developed the entire frontend collaboratively as part of a team.
2. [Uber Backend System]
- Tech Stack: Java, Spring Boot, Redis, Kafka, STOMP WebSockets
- Implemented a scalable microservices architecture with key features:
- Real-time location tracking using Redis.
- Asynchronous communication via Kafka.
- Secure authentication with JWT-based Spring Security.
- Clean data management using DTO and repository patterns.
- Role: Designed and implemented backend modules with a focus on scalability and security.
3. [Real Estate Analytics Application]
- Tech Stack: Streamlit, Machine Learning, Python
- A data-driven application for property market analysis with the following modules:
- Analytical Module: Key market trends identification.
- Price Prediction Module: Predict property prices using ML models.
- Insights Module: Personalized recommendations.
- Role: Designed and developed ML models and integrated them into the application.
- 🧠 Complete Machine Learning Program – GeeksforGeeks
- 📧 Email : [email protected]
- 🖇️ LinkedIn : linkedin.com/in/vaibhav-shinde-9451ab23b