ABOUT / PROFILE

ABOUT ME

AI engineer focused on retrieval systems, semantic search, and practical LLM-powered applications.

PROFILE

AI Engineering

RAG Systems

Backend Development

Frontend Learning

I’m Manraj Virdee, an AI engineer focused on building practical LLM-powered applications with retrieval, semantic search, and clean system design.

My current work is centred around retrieval-augmented generation, vector databases, document intelligence, and turning AI prototypes into usable software.

This portfolio was built as part of my frontend learning journey using Astro and Tailwind, while keeping the focus on shipping a clear, fast, and maintainable site.

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Core Languages

Python SQL TypeScript JavaScript

AI / LLM / Retrieval

OpenAI API OpenAI Embeddings RAG architectures Semantic search Vector search Prompt engineering PDF ingestion pipelines Chunking strategies Retrieval pipelines Grounded QA systems LangChain Azure AI Search ChromaDB

Backend Engineering

FastAPI REST APIs Pydantic API validation/error handling pytest unittest JSON processing

Data / ML Tooling

Pandas NumPy scikit-learn MLflow Weights & Biases

Data / Analytics Platforms

Databricks Power BI Excel Neo4j

Frontend / UI

Astro Tailwind CSS Streamlit Responsive UI development Component-based architecture

Cloud / Deployment / Infrastructure

Docker Render Cloudflare Pages Streamlit Community Cloud Cloudflare DNS/domain management Azure Azure DevOps CI/CD exposure YAML pipelines

Developer Tooling

Git GitHub VS Code Jupyter Notebook Vite

Engineering Practices

Agile/Scrum Stakeholder collaboration Automated testing Basic logging Evaluation scripts API documentation