AI Core

Hobby

Python for AI/runtime scripting, RAG pipelines, semantic search, embeddings

AI is a hobby/research layer for me: useful for runtime scripting, RAG pipelines, semantic search and pragmatic automation. It supports my backend and tooling work, but it is not my main specialization.

The Story

Why I keep AI Core as a lab

Codebases can be hard to search, explain and keep documented.

I use Python, embeddings and retrieval as practical tools for experiments around code understanding and automation, not as a claim that AI is my primary engineering direction.

SearchSemantic search across indexed repository context.

ScriptRuntime scripts and workers where Python is the practical choice.

RetrieveUse embeddings to retrieve useful context, not to overpromise magic.

ExplainMake code knowledge easier to inspect and share.

Core Capabilities

RAG pipelines

Combine vector search with LLMs as a practical research pattern for source-grounded answers.

Semantic search

Find functions, classes, logic and patterns across indexed repository context.

Embeddings

Generate and store embeddings for fast retrieval in hobby/research systems.

Code Analysis

Extract structure, relationships and useful signals from indexed repositories.

Python runtime scripting

Small Python workers and scripts for indexing, runtime tasks and automation experiments.

Assistant prototypes

Prototype assistant flows grounded in retrieved code context, without treating this as the core career track.

What I experiment with

AI documentation experiments

Generate documentation from repository segments, graph signals and retrieved context.

Code understanding support

Use indexed context to understand unfamiliar code faster.

Semantic code navigation

Jump to what matters using embeddings and search signals.

Runtime automation

Use scripts and workers to automate repetitive runtime tasks.

Assistant prototypes

Prototype assistant flows around real repository structure.

Technology Stack

QdrantEmbeddingsGemma4EmbeddingGemmaLlamaIndexOpenAI APIand more...

Used In

AI Code Documentation SystemMaster's Thesis

Internal Developer ToolsPragmatic automation support

Private developer toolingPrivate assistant experiments

Knowledge Base SearchRepository search experiments