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MongoDB

NoSQL document database with flexible schema design, high performance, and scalability for modern applications.

MongoDB

Leading NoSQL database with flexible document model. Perfect for applications requiring dynamic schemas and horizontal scaling.

Key Features

  • Document Model: JSON-like flexible schemas
  • Scalability: Horizontal scaling and sharding
  • Aggregation: Powerful data processing pipelines
  • Indexing: Fast queries and lookups
  • Replication: High availability

My Experience

Used MongoDB for storing flexible data structures in ML applications, managing vector embeddings, and building scalable data pipelines.

Projects Using MongoDB

Fine-tuning LLMs for Chandra X-ray Observatory Data

Astromind • December 2024 - Present

How I used it: Data used for the process was stored here

PLM: Physical Language Model for Chandra X-ray Source Analysis

Astromind • 2024 - 2025

How I used it: Source catalog storage with vector search indices for embeddings