Resume

About Me

I build systems that turn complexity into something humans can actually use.

My interests and work sit at the intersection of data and product, taking pipelines, models, and messy datasets and shaping them into tools people actually want to interact with. I’ve developed production data systems in financial risk technology and worked with machine learning across academic and applied contexts.

What’s always drawn me to this work is the top-most layer: the experience. How an interface guides attention, how complexity gets translated into something intuitive, and how design makes a system feel trustworthy, not just functional.

Outside of work, I document the world the same way I approach products—through composition, constraint, and intent. Shooting across ten countries has shaped how I think about structure, pacing, and detail, whether I’m framing a shot or a user flow.

Right now, I’m building products that are both technically rigorous and thoughtfully designed. To me, those two things are one and the same.

Portrait of Seamus

Selected Work

Revel

A nightlife discovery app — search by vibe, build collaborative lists with friends, and explore everything on a map.

Role
Product Designer
Type
UX/UI Design
Status
In Progress
Focus
Nightlife, Maps, Social
Revel app screens

BioXplore

Graphical data exploration tool for disease-gene associations. Collaborative research presented at Northeastern’s RISE expo.

Role
Researcher / Developer
Type
Data Science
Presented
RISE ’24
Focus
Bioinformatics, Networks
BioXplore dashboard

Matchbox

A social app that builds groups of strangers each month to explore their city together. Includes a matching algorithm designed to optimize group chemistry.

Role
Product Designer
Type
Full Case Study
Tools
Figma, Python
Focus
Social, Algorithm Design
Matchbox app screens
Street in Midtown, NYC Product Design Data Science

Midtown, NYC — I still don’t know what they were looking at.

Education

  1. 2022 — 2026 (Expected)

    B.S. Data Science & Behavioral Neuroscience

    Northeastern University

    Torch Scholar, Dean’s List

    Coursework: Machine Learning, Large-Scale Storage, Advanced Python, Quantitative Topics in Neuroscience, Developmental Psychology

  2. Summer 2023

    Study Abroad — Croatia & Bosnia

    Studied cross-cultural psychology through the lens of the Yugoslav Wars. Visited NGOs, historical centers, and met with researchers and practitioners working in post-conflict memory and reconciliation.

  3. Summer 2024

    Study Abroad — Belgium

    Studied data and software in international governance. Heard directly from officials at NATO, Eurostat, and the EU Parliament on how institutions use data infrastructure at a policy level.

Experience

  1. July 2025 — Dec 2025

    Software Engineering Co-op

    Canadian Imperial Bank of Commerce (CIBC), US Risk Technology · New York, NY

    • Built and deployed enterprise-scale ETL infrastructure and pipelines driving AML, Compliance, and stress testing systems for a $70B financial institution, enhancing data integrity across the firm’s modernization effort.
    • Implemented parameter validation, dynamic data checks, and error-handling mechanisms to safeguard pipeline accuracy, reducing failure cases and improving overall system reliability.
    • Partnered with business stakeholders to deliver modernized, scalable applications using Power Platform and Databricks, aligning technical solutions with evolving operational needs.
  2. July 2024 — Jan 2025

    Software / Power Platform Development Co-op

    Canadian Imperial Bank of Commerce (CIBC) · Chicago, IL

    • Automated SEC 13F reporting processes, reducing annual manual effort from 280 hours to ~5 hours and increasing compliance accuracy by eliminating manual entry risk.
    • Implemented team-wide Git-based source control for Power Platform solutions, enabling CI/CD integration and improving multi-developer collaboration across large-scale projects.
  3. Nov 2023 — Apr 2024

    Research & Development — Bioxplore

    Khoury College of Computer Science, Northeastern University · Boston, MA

    • Developed an interactive dashboard to display DisGeNET and gene ontology disease, gene, and annotation connections using Python, SQL, and custom API wrappers.
    • Conducted faculty-mentored research, collaborating with a professor and team to design and implement databases, API tools, and wrappers to streamline interface production.
    • Presented at RISE 2024 research expo.
    View Project →
Midtown, Manhattan on Kodak UltraMax 400
Midtown, Manhattan Kodak UltraMax 400
Midtown, Manhattan on Kodak Gold 200
Midtown, Manhattan Kodak Gold 200
Central Park, Manhattan on Kodak Gold 200
Central Park, Manhattan Kodak Gold 200