• n8n — AI & Workflow Automation
• AI Agents & Automation Workflows

AI Outbound Sales Automation
AI-powered sales automation for prospecting, qualification, CRM, outreach, and demo booking.

Personal AI Command Center
A personal AI command center for connecting agents, tools, memory, and automation workflows.

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I'm a Software Developer passionate about AI Engineering and Full-Stack Development.

Outside of coding, I’m always learning, exploring new tools, looking for ways to improve both my technical skills and the overall quality of my work — or playing basketball when I need a break. 🤓

Building AI applications with:

• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Fine-Tuning
• OpenAI API
• LangChain
• Ollama
• Python

Also experienced in:

• Next.js
• React
• Node.js
• MongoDB

A Retrieval-Augmented Generation (RAG) application that enables users to chat with PDF documents using a local Large Language Model.

Key Features

• Upload and index one or multiple PDF documents.
• Semantic document retrieval using ChromaDB.
• Context-aware question answering powered by a local LLM.
• Interactive Gradio web interface.

Built With

• Python • LangChain • Ollama • Llama 3.2 • ChromaDB • Hugging Face Embeddings • Gradio

An end-to-end LLM fine-tuning project that adapts Meta Llama 3.2 3B Instruct for customer support conversations using QLoRA and PEFT. The project covers dataset preparation, supervised fine-tuning, experiment tracking, evaluation, and LoRA adapter export for efficient inference.

Key Features

• Fine-tuned Meta Llama 3.2 3B Instruct using QLoRA.
• Parameter-efficient training with PEFT and LoRA adapters.
• 4-bit quantization using BitsAndBytes.
• Experiment tracking and evaluation with Weights & Biases.

Built With

• Python • Transformers • TRL • PEFT • QLoRA • BitsAndBytes • Hugging Face • Weights & Biases

A full-stack web application for vinyl collectors to organize, discover, and showcase their collections online.

Key Features

• Google Authentication
• Public collector profiles
• Vinyl search powered by Discogs
• Achievement and badge system

Built With

• Next.js • React • TypeScript • Tailwind CSS • MongoDB • Auth.js • Discogs API