Projects

Applied machine learning and large language model systems built in industry before and during my move to research.

Multi-Agent Conversational AI System

Multi-agent AI system

Building a comprehensive AI assistant for hotel guests, enabling coordinated task handling, service assistance, and reliable information retrieval through agent orchestration and tool-integrated workflows.

Stack: LangGraph, LangChain, Langfuse, multi-agent systems

Invoice-Factory-AI

AI-powered invoice processing

Developed an AI system using large language models and prompt engineering to parse hotel invoices of varying formats, extracting structured data automatically. Integrated Google Document AI for OCR.

Stack: Django, large language models, prompt engineering, Google Document AI

Zeuxis.AI

Multimedia generation platform

Developed a platform enabling users to generate images and videos from text or image inputs in a unified interface.

Stack: Java, Spring Boot, FAL AI, vision models

Aptitudo

AI interview assistant

Created an AI-powered interview preparation system generating multiple-choice, coding, and written questions, with automated scoring.

Stack: Django, large language models, prompt engineering

BISDP-BI

Government insurance project

Data analysis and machine learning model development for decision-making on fraudulent claims and monetary prediction. Co-led the machine learning team across the project lifecycle.

Stack: Python, Pandas, NumPy, scikit-learn