🎓 Master of Engineering (Information Technology) at Jadavpur University
💡 Passionate about Artificial Intelligence, Machine Learning, Retrieval-Augmented Generation (RAG), and Backend Development
☕ Experienced in Java, Spring Boot, REST APIs, and Database Systems
📊 Interested in Data Science, Predictive Analytics, and Applied Machine Learning
🏆 GATE 2024 Qualified (Computer Science & Engineering)
🔍 Currently exploring AI Agents, Multimodal AI, LLM Applications, and Scalable Backend Systems
- Java
- Python
- C
- Spring Boot
- Spring Security
- Spring Data JPA
- REST APIs
- JWT Authentication
- Machine Learning
- Data Analysis
- Predictive Modeling
- RAG (Retrieval-Augmented Generation)
- LLM Applications
- MySQL
- MongoDB
- H2 Database
- Git & GitHub
- FastAPI
- Flowise
- Pinecone
- Google Gemini
- Render
Developed an AI-powered Supply Chain Management Assistant using Flowise, Gemini, Pinecone, and FastAPI.
Highlights
- Retrieval-Augmented Generation (RAG)
- Semantic Search using Vector Databases
- FastAPI Analytics Services
- Supplier Performance Intelligence
- Real-Time Conversational Analytics
Built a machine learning framework for early diabetes detection using ensemble learning techniques.
Highlights
- Random Forest
- Gradient Boosting
- AdaBoost
- XGBoost
- Logistic Regression Meta-Learner
- Feature Engineering & Threshold Optimization
Enterprise-style e-commerce platform built with Spring Boot and Spring Security.
Highlights
- JWT Authentication
- Role-Based Access Control
- Product Management
- Order Processing
- RESTful APIs
- Generative AI Applications
- AI Agents & Agentic Workflows
- Multimodal AI Systems
- Enterprise Backend Development
- Machine Learning Research
- Cloud Deployment
📧 priyamc.it.pg@jadavpuruniversity.in
💼 LinkedIn: www.linkedin.com/in/priyam-chakrabarty
🌟 Open to collaborations in AI, Machine Learning, Spring Boot, and Data Science projects.