Work and projects that taught me precision, patience, and how to think in systems.

I’ve built and contributed to a variety of systems — some for companies, some for curiosity. Each one pushed me to design better architectures, write cleaner code, and explore how intelligence fits into engineering.

Work Experience

  • BDS Group (Lero) - AI/ML Intern

    The Biocomputing and Development Systems Group at the University of Limerick, works with cutting edge AI and ML tools.

    Website

  • Blkbox.ai - SDE 2

    An AI-powered marketing platform that automates creative production, and testing to scale ad performance on social media channels.

    Website

  • 5C Network - Backend Developer

    India’s largest digital radiology network using AI to deliver faster, more accurate medical image reports.

    Website

Personal Projects

  • Cocktail AI

    AI-assisted cocktail design: given mandatory ingredients and target flavors, custom ML models guide a genetic algorithm to evolve optimized recipes, deployed on AWS.

    Details

  • RapidMock

    RapidMock accelerates frontend development by mocking endpoints with real responses like 200, 404, 500 and many more. All with a single click and no change in frontend code.

    rapidmock.com

  • ConvNext for Google Quickdraw dataset

    Applied ConvNeXt-Tiny - a state of the art pure CNN architecture, to classify 300,000 hand-drawn Google QuickDraw sketches across 30 categories, achieving an accuracy of 87.88%

    Github

  • GP Classifier

    A Genetic Programming (GP) Classifier with multi-objectie fitness function for the Adult Income Dataset that was amongst the top 4 with an accuracy of over 78%.

    Github