Hello, I'm
Information Systems Student @ Carnegie Mellon University
Software Engineering Minor · Software Engineering and IT Intern
Information Systems student at Carnegie Mellon University building full-stack software — from Ruby on Rails applications with testing and CI to React Native apps and AI-assisted tooling.
I am an Information Systems student at Carnegie Mellon University with a Software Engineering minor, seeking Summer 2027 software engineering internships. I focus on full-stack development, testing, and deploying applications that support real operational needs.
Internal Ruby on Rails applications with authentication, role-based access, and PostgreSQL; React Native apps with real-time updates; and Python tools for image processing and recommendation logic.
When I'm not coding, you'll find me playing soccer, running, competing in quiz bowl, or reading. Balance keeps me sharp.
Accomplishment-focused roles across enterprise software, education, and entrepreneurship.
Nemacolin Resort · Farmington, PA
Internal Ruby on Rails 8 application that centralizes IT resources, links, and documentation for administrators.
IT resources, links, and documentation needed a single internal application for 20+ administrators with clear access controls.
Built full-stack Rails features with bcrypt authentication, CanCanCan RBAC, normalized PostgreSQL modeling, audit trails, and pg_search full-text search.
Achieved 100% line coverage across 800+ RSpec examples and configured GitHub Actions to run tests, Brakeman, and bundler-audit before deployment to a restricted internal Linux server.
Ruby on Rails 8, PostgreSQL, CanCanCan, RSpec, FactoryBot, SimpleCov, GitHub Actions, Brakeman, bundler-audit, Linux, systemd
Authentication, authorization, test coverage, and security checks in CI are essential before deploying internal applications to restricted servers.
Soroban Capital Partners LP · New York City, NY (Remote)
Human review of AI-generated financial transcripts used in investor-facing materials.
AI-generated transcripts required systematic checks for speaker attribution, financial terminology, and numerical accuracy.
Audited transcripts against accuracy criteria and documented recurring error patterns to standardize review.
Completed review across 125+ hours of content spanning 50+ transcripts.
AI-generated content review, financial terminology validation
Documenting recurring AI error patterns makes human review more consistent and repeatable.
The 5th C Academy · Los Altos, CA (Remote)
Instruction and mentoring for full-stack and AI application development.
Students needed debugging support, code review, and guidance while building end-to-end applications.
Taught Python, JavaScript, REST APIs, databases, LLMs, prompt engineering, and model integration with individualized capstone support.
Mentored 100+ students through full-stack and AI application development.
Python, JavaScript, REST APIs, databases, LLMs, prompt engineering
Teaching and code review reinforce clear debugging habits and end-to-end application structure.
Pajerski Precision Detailing · Uniontown, PA
Founded and operated an automotive detailing business serving clients in Uniontown, PA.
Building a service business required acquiring clients, delivering consistent work, and earning repeat and referral demand.
Owned operations end-to-end and focused on referral-driven growth and customer retention.
Completed 50+ client engagements, generated $5,000+ in revenue, earned 80% of new business through referrals, and achieved 95% customer retention.
Operations, client management, entrepreneurship
Referral rate and retention are clearer measures of service quality than volume alone.
Deep dives into problems solved, architectures designed, and lessons learned.
Internal Ruby on Rails 8 application that centralizes IT resources, links, and documentation for 20+ administrators.
What I learned: Pairing RBAC, audit trails, RSpec coverage, and GitHub Actions security checks before Linux deployment keeps internal apps safer to ship.
React Native and Supabase application for creating prediction markets, placing predictions, and following live market updates.
What I learned: Real-time subscriptions and client-side conflict-resolution logic are central when markets update concurrently.
Python outfit recommendation engine using image processing, automated garment tagging, and a custom backtracking algorithm.
What I learned: Converting wardrobe photos into structured garment attributes makes constraint-based outfit generation practical.
Every skill is backed by real projects and professional experience.
Everything you need in 30 seconds — full PDF below.
B.S. Information Systems, CMU; Software Engineering Minor · May 2028
Software Engineering and IT Intern @ Nemacolin Resort
Summer 2027 Software Engineering Internships
Ruby on Rails · PostgreSQL · React Native · Python · JavaScript
May 2028
Summer 2027 · Open to relocation and remote
Pittsburgh, PA
I'm actively seeking Summer 2027 Software Engineering internship opportunities at companies where I can contribute to impactful, well-engineered products. I'd love to connect.
