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Joseph Remingston

Joseph Remingston

@JosephRemingstonResume

Backend Engineer

A Software Engineer focused on building high-performance microservices, cloud-native architectures, and robust API infrastructure that powers next-gen AI applications.

Find me on the internet

My skills

Python
Node.js
JavaScript
Java
AWS
Docker
MongoDB
SQL
Express.js
REST APIs
RAG Pipelines
Vector Databases
LangChain
Git
Python
Node.js
JavaScript
Java
AWS
Docker
MongoDB
SQL
Express.js
REST APIs
RAG Pipelines
Vector Databases
LangChain
Git
Python
Node.js
JavaScript
Java
AWS
Docker
MongoDB
SQL
Express.js
REST APIs
RAG Pipelines
Vector Databases
LangChain
Git
Python
Node.js
JavaScript
Java
AWS
Docker
MongoDB
SQL
Express.js
REST APIs
RAG Pipelines
Vector Databases
LangChain
Git

Contributions @JosephRemingston

GitHub Contributions

Where I've worked

Education

Things I've built

VisionAI - AI Based Media Analysis

VisionAI - AI Based Media Analysis

Built a serverless image processing pipeline with AI-powered analysis via AWS Rekognition, automating object detection and reducing manual tagging effort. Achieved 99.9% uptime with Lambda deployment.

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Node.jsAWS
DocuQuery - RAG based PDF Insights

DocuQuery - RAG based PDF Insights

Designed and implemented a RAG-based PDF retrieval system with Node.js backend, enabling efficient semantic search and context-aware answers. Optimized LLM response pipeline with ChromaDB embeddings, improving query throughput by 40%.

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Node.jsRAG
GreenMind AI - GenAI based Farmer Assistant

GreenMind AI - GenAI based Farmer Assistant

Architected and deployed a domain-adapted GenAI chatbot with a farming-specific knowledge base to minimize model hallucinations. Implemented a RAG pipeline using LangChain, ChromaDB, and Gemini embeddings for contextual responses.

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Node.jsLangChain
InsightAI - AI-Powered Database Assistant

InsightAI - AI-Powered Database Assistant

Built a production-ready API combining JWT authentication, encrypted MongoDB connection management, and AI-powered natural language query generation using Google Gemini AI. Features query and inference modes with Redis caching for optimal performance.

View Project
Express.jsMongoDB

"Code is like humor. When you have to explain it, it's bad."

crafted with purpose — @JosephRemingston