Software Engineer | Full-Stack | Cloud & DevOps | AI Systems

BS Software Engineering @ RIT (GPA 3.85)
Building scalable, production-grade systems across web, mobile, and cloud.

Accessible Learning Labs · Jan 2026 – Present

• Leading a team of 3 engineers using Agile to build educational labs on AI bias and hallucinations
• Architecting full-stack systems with React, Node.js, PostgreSQL deployed across 9 academic institutions
• Driving sprint planning, task breakdowns, and code reviews with a focus on accessibility and instructional clarity

Rochester Regional Health · Aug 2025 – Jan 2026

• Implemented CI/CD automation (GitHub Actions, RenovateBot, NUnit), cutting maintenance effort by 15–20%
• Refactored and optimized 30+ .NET services, reducing backend execution time by 60%+ on critical paths
• Consistently delivered sprint work 20–40% ahead of estimates

Accessible Learning Labs · Jan 2025 – May 2025

• Built a research web platform (React, Node.js, PostgreSQL) used by 600+ participants and adopted for recurring studies
• Presented at CCNSE on the impact of accessible software in education and research

React (TS) · Python · AWS · Terraform · DynamoDB · S3
Built a document-aware AI pipeline that systematically parses, chunks, and indexes SEC 10-Ks to prevent LLM context loss.

• AI-generated summaries are created per section and cached in S3 for reuse
• Subsequent queries refetch pre-processed data instead of re-parsing raw filings
• Improves accuracy, latency, and cost vs naïve “upload PDF to LLM” approaches

React Native · Expo · Python · AWS · Terraform · PostgreSQL · Docker
Mobile app built for a track coach to collect previously unrecorded athlete workout data.

• Replaced email and paper logs with structured in-app submissions
• Centralized athlete times and metadata into a single coach dashboard
• Increased recorded practice data by ~600%, growing to 20 DAUs

React (TS) · C# ASP.NET · AWS EC2 · Docker
End-to-end habit tracking web app focused on consistency and long-term progress.

• Users can create, edit, and delete habits with streak and historical progress tracking
• Social features for adding friends and comparing accountability
• AI-generated habit recommendations based on user behavior
• Containerized and deployed on EC2, owning backend, frontend, and infrastructure

Languages
Python, C#, JavaScript, TypeScript, HTML, CSS

Frameworks
React, React Native, Expo, Flask, ASP.NET

Cloud / Infra / Data
AWS, Docker, Terraform, PostgreSQL, DynamoDB, MongoDB, Node.js

• LinkedIn: linkedin.com/in/conner-jack-defeo
• Portfolio: connerdefeo.com