Applied Research Projects

Agentic Data Guardian: Enterprise Data Quality Management

Published: June 01, 2026

Designed and built AI multi-agent workflows to automate the detection and remediation of data quality anomalies in enterprise databases.
Implemented Google ADK and AutoGen agents that continuously validate and update schemas, keeping model answers grounded and reducing hallucinations.
Published findings in WPP Research: “Meet Your New Agentic Data Guardian”.

Creative AI: Evaluating and Ranking AI Creativity

Published: November 01, 2025

Researched multi-agent collaboration strategies and LLM-as-a-judge paradigms to evaluate and rank creative outputs.
Benchmarked agent architectures (CrewAI, AutoGen, LangGraph) on creative marketing tasks.
Contributed to internal R&D and technical reports published by WPP Research.

Real-time Bolt Detection Using Deep Learning

Published: January 01, 2022

Development of a YOLOv5 deep learning bolt detector
Real-time bolt detection using ZED 2i camera and Edge AI Gateway

Predicting AirBnb Prices in Athens using Machine Learning

Published: October 01, 2021

Data Preprocessing
Feature Engineering
Regression using Random Forest, XGBoost

Global Wheat Detection (Kaggle Competition)

Published: October 01, 2020

Implementation of various Cut and Mix plus Style Transfer image augmentations
Single-class object detection using EfficientDet

Automatic Identification of Asbestos Fibres in Air Samples using Deep Learning

Published: October 01, 2019

Instance segmentation using U-Net
Analysis of fibre size and shape distributions
Progress meetings with industrial partner Ethos Environmental

Improving the Safety, Reliability, and Efficiency of Cargo Transportation using Deep Learning

Published: October 01, 2019

Multi-class object detection using RetinaNet
Progress meetings with the industrial partner Streamba