Soumyadip Moni

Engineered a machine learning-based tool that improved legal document analysis efficiency by 70%. Implemented K-Means clustering to optimize token management, improving document embeddings by 30%.

React · Supabase · Next.js · Langchain · FastAPI

Created a fast, portable interpreter without external dependencies, achieving 30% faster execution compared to similar interpreters.

Rust

Developed an Express-like framework for Java handling high concurrency with minimal latency and support for cookies and GET requests.

Java

Created a template for Appwrite to facilitate synchronization between Appwrite and Meilisearch using Node.js and TypeScript.

TypeScript · Node.js

Contributed features to improve TypeScript interface generation for Rocket-based Rust APIs, enhancing type mapping and debug logging.

Rust

Created a Jina Embeddings class to integrate Jina AI's embedding models with langchainjs, enhancing embedding generation.

TypeScript · Node.js