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Aspiring AI Agent Developer

I'm a graduate student specializing in AI agent development, ready to tackle real-world challenges with innovative solutions.

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Work samples

Explore my work in AI development, showcasing projects that leverage innovative technologies to solve real-world problems.

  • Wayfair n8n AI Agent Engineering Externship
    Wayfair n8n AI Agent Engineering Externship
    Wayfair logo

    Wayfair · ✅ Verified by Extern · ⏱️ In progress

    Wayfair n8n AI Agent Engineering Externship

    Learn one of the most in-demand skills shaping the future of work: building AI agents. In this externship, you’ll step into the role of an AI Agent Developer and use n8n to design agents that think, plan, and act on real data — automating insights, decisions, and workflows. No coding experience required. By the end, you’ll create a live dashboard powered by your own AI agents, gaining hands-on experience that applies to any role or industry — from marketing and consulting to product management and data science.

    AI Workflow DesignAI Agent DevelopmentPresentation SkillsWeb Scraping & Data Extraction
  • Financial Transaction Fraud Detection
    Financial Transaction Fraud Detection

    Within a 6-person team, built a classification pipeline to label transaction behaviour patterns across 6.36 million transactions (773:1 class imbalance), applying rigorous data accuracy checks to produce reliable, high-confidence outputs for stakeholders. AUC-ROC: 0.9916.

    PythonApache Spark

About me

I'm a graduate student specializing in AI agent development, ready to tackle real-world challenges with innovative solutions.

I am a graduate student currently pursuing my Master's Degree, eager to step into the professional world. With limited work experience, I'm focused on building skills in innovative technologies, particularly in AI and agent development.

Externships

Wayfair n8n AI Agent Engineering Externship

Wayfair

Experience

Associate Business Analyst

Data Nurture Software Solutions · Feb 2025 – Sep 2025

Intern

Data Nurture Software Solutions · Oct 2024 – Jan 2025

Education

University of Limerick

MSc Business Analytics

M.O.P. Vaishnav College for Women

BSc Data Science

Skills

AI Developmentn8nWorkflow AutomationData AnalysisProblem Solving
Back to work
Wayfair ↗

✅ Verified by Extern · ⏱️ In progress

Wayfair n8n AI Agent Engineering Externship

Learn one of the most in-demand skills shaping the future of work: building AI agents. In this externship, you’ll step into the role of an AI Agent Developer and use n8n to design agents that think, plan, and act on real data — automating insights, decisions, and workflows. No coding experience required. By the end, you’ll create a live dashboard powered by your own AI agents, gaining hands-on experience that applies to any role or industry — from marketing and consulting to product management and data science.

AI Workflow DesignAI Agent DevelopmentPresentation SkillsWeb Scraping & Data Extraction

Overview

The externship covered AI agent development in n8n, including workspace configuration, prompt engineering, and workflow authoring. The work produced runnable n8n prompt flows and a generated moodboard. Deliverables included structured prompt nodes and a visual artefact.

Wayfair n8n AI Agent Engineering Externship

What I've accomplished

I converted brief product inputs into structured, sectioned moodboard prompts and produced two sample inputs with a reflection on consistency and tuning.

Project breakdown

During the Build Your First Prompt Node task I turned brief product inputs into structured moodboard prompts. I supplied two sample inputs and produced detailed, sectioned prompts (wide shot, macro texture, lifestyle shot, props) plus a short reflection on consistency and tuning.

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Financial Transaction Fraud Detection

Within a 6-person team, built a classification pipeline to label transaction behaviour patterns across 6.36 million transactions (773:1 class imbalance), applying rigorous data accuracy checks to produce reliable, high-confidence outputs for stakeholders. AUC-ROC: 0.9916.

PythonApache Spark
View all work
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Published Research, Fuzzy Systems and Soft Computing, Vol. 19

Peer-reviewed publication on personalised recommendations using Random Forest classification.

Random Forest
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Digital Futures Lab – Hyper-Local Food Surplus Coordination Network

Mapped stakeholder processes against evolving regulatory guidelines (EU Reg. 852/2004, 178/2002), applying structured frameworks to ensure ongoing compliance across a multi-stakeholder system.

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