Connor Mcilhinney

Connor Mcilhinney, 2025

01 About

Hello. I'm Connor.
Masters Student.
Athlete.
Builder.

I've had the chance to build across early-stage startups, enterprise platforms, and student-run investment funds. I care about writing clean, purposeful software. The kind that makes something genuinely easier for the person using it.

Recently working with

AWSGCPYOLOv8 DockerSQLN8N TerraformOpenCVModal

Experience

May — Aug 2026 Software Engineer Intern — CI/CD Team

Equifax ↗

Centralized Jenkins and GitHub Actions logs into BigQuery, consolidating CI/CD pipeline data across the organization into a unified, queryable data warehouse
Analyzed log data at scale using BigQuery to identify recurring failure patterns and root causes across CI/CD pipelines
Built an internal AI chatbot trained on log failure patterns to help engineers diagnose and resolve build failures in real time

Aug 2025 — Jan 2026 Software Engineer Intern

Noded ↗

Engineered Python backend services using requests + BeautifulSoup to validate article URLs, detect paywalls, and extract clean HTML
Integrated Finnhub + Alpha Vantage APIs to unify heterogeneous data sources into a normalized JSON schema
Built a relevance-scoring framework combining keyword heuristics and LLM-based semantic filtering

Jun — Aug 2025 Software Engineer Intern — Cloud Infrastructure

PDI Technologies ↗

Provisioned AWS infrastructure (ECS, ALB, IAM, RDS PostgreSQL, Secrets Manager) to deploy and scale n8n
Containerized n8n with Docker; orchestrated with Terraform for a repeatable IaC workflow
Rolled out access to ~2,400 employees through a secure, cloud-native automation platform

Aug 2024 — Jan 2026 Quantitative Analyst — Quant Sector

GT Investment Committee ↗

Researched insider trading patterns using SEC Form 4 filings to surface investment signals
Built a Python backtesting system with weighted factors: role, trade size, and timing
Strategy adopted into GTSF's $2.6M actively managed portfolio

Jun — Aug 2023 Software Engineer Intern

Canopy ↗

Conducted competitive research to identify strategic opportunities for Canopy's outbound software
Collaborated with the Head of Sales and CEO to refine product-market fit
Gained exposure to executive decision-making in a fast-paced startup environment

Projects

Computer Vision · Live

Highlight
Generator

A web app that generates soccer highlight reels from raw match footage using YOLO object detection to identify key moments automatically.

YOLOv8OpenCVFlaskDockerFly.ioModalPyTorchPillowNumPy

Live App ↗ GitHub ↗

Machine Learning · Live

UFC Fight
Predictor

ML model trained on thousands of historical UFC bouts to predict fight outcomes. Select any two fighters and get win probabilities derived from striking stats, grappling records, and physical matchup data. Includes a betting value calculator.

PythonpandasFastAPIDockerWeb ScrapingFeature Engineering

Live App ↗ GitHub ↗ Research Paper ↗