AI ENGINEER

Building intelligent AI systems and retrieval applications.

Building retrieval systems, intelligent applications, and modern AI-powered software.

FEATURED PROJECT

RAG Application

Document Intelligence RAG System

AI-powered retrieval application using vector search, semantic chunking, embeddings, and LLM-based response generation.

Python
LangChain
Vector DB
OpenAI

TECH STACK

Modern tools for intelligent systems and AI applications.

LANGUAGE

Python

Primary language for AI systems, backend engineering, and automation workflows.

AI STACK

LangChain

RAG pipelines, orchestration systems, embeddings, and retrieval workflows.

FRONTEND

Astro

Modern frontend architecture with performant static rendering and component-driven UI systems.

INFRASTRUCTURE

Vector DBs

Semantic retrieval, embeddings storage, and scalable AI search systems.

ENGINEERING APPROACH

Building reliable AI systems with modern engineering principles.

Retrieval Systems

Focused on semantic search, embedding pipelines, vector databases, and practical RAG architectures for intelligent document interaction.

Performance

Building responsive systems with efficient retrieval, clean architecture, optimized workflows, and scalable infrastructure decisions.

System Design

Designing modular AI applications with reusable components, maintainable architecture, and production-oriented engineering practices.

LET'S CONNECT

Interested in AI systems, RAG, or intelligent applications?

I’m building practical AI applications and documenting the journey. Reach out if you want to discuss projects, opportunities, or ideas.