Languages
- C#
- Python
- Java
- C++
- SQL
Software Engineering Intern
May 2027 Graduate
I build production backend systems with C#, ASP.NET Core, and PostgreSQL. Currently an intern at TWIG Power, where I ship tools that real engineering teams use every day.
About
I'm a software engineering student at Lawrence Technological University with a focus on backend and full-stack development. My internship at TWIG Power showed me the real impact of building reliable systems that teams depend on, and it founded my interest in production backend work.
Engineering is a team sport. The best systems are built by people who write clean code and communicate clearly.
What I Build With
The stack below reflects the kinds of systems I want to keep building in a full-time role.
Experience
My strongest signal is production software experience: C# backend services, ASP.NET Core endpoints, and PostgreSQL-backed applications.
TWIG Power
Building backend services and internal tools that streamline workflows, reduce manual work, and improve operational visibility for the engineering team.
Ownership
Backend services, internal tools, data-driven workflows
Impact
Reduced manual work, faster lookups, consistent processes
Stack
C#, ASP.NET Core, PostgreSQL, REST APIs
Zaven Margosian Student Success Center
Leading one-on-one technical tutoring that sharpened how I explain debugging, algorithms, and databases to students with very different starting points.
Ownership
One-on-one tutoring across 7 core CS and software subjects
Impact
Made debugging and algorithms accessible to all skill levels
Stack
Python, C++, Java, SQL, data structures, algorithms
At a Glance
A combination of production-facing work, backend and data experience, and teaching that shapes how I contribute: practical systems thinking, clear communication, and the ability to ramp up quickly.
Software engineering internship at a production-focused company
Built backend services and internal tooling with C# and ASP.NET Core
PostgreSQL-backed workflow systems with real data flows
Technical subjects tutored across CS fundamentals
Projects
These projects demonstrate my approach to backend and full-stack engineering: data modeling, clean architecture, and end-to-end user flows.
Academic robotics project
Problem: Coordinate robotics control behavior with a simple interface for interacting with the system.
Implementation: Connected Python and C++ control layers with lightweight HTML/CSS interface work.
Proof: Cross-language integration, control-flow organization, and connecting software boundaries.
Backend web server project
Problem: Build a server that handles HTTP requests and serves files through ASP.NET Core.
Implementation: Focused on request handling, static file serving, dynamic file handling, and clear backend structure.
Proof: Backend routing fundamentals, HTTP verb handling, and clean API structure.
Full-stack Java application
Problem: Build a fully functional e-commerce application with shopping cart logic and user workflows.
Implementation: Implemented inventory management, user checkout flows, and OOP-based class design.
Proof: End-to-end user flows, data modeling, and clean separation of concerns.
These projects stay available as supporting breadth, but the homepage keeps them collapsed so the strongest recruiter-facing work stays in focus.
Python CLI tool with interactive problem sets, automated grading feedback, and structured math practice workflows — demonstrated input validation, state management, and clean output formatting in a command-line environment.
View GitHubC++ console application implementing inventory tracking, shopping cart logic, and checkout flow — demonstrated OOP design patterns, state-based data modeling, and terminal-based user interaction.
View GitHubMATLAB F1 race simulation with motion tracking, data-driven visualization, and real-time parameter adjustment — demonstrated algorithmic thinking, numerical computation, and systems modeling.
View GitHubMATLAB numerical differentiation engine with adaptive step-size control and interactive graph plotting — demonstrated computational methods, error analysis, and algorithm optimization.
View GitHubMATLAB physical systems simulation with reasoning through scientific inputs and outputs.
View GitHubDocumentation-driven telemetry system design with structured data flow diagrams, architecture artifacts, and engineering communication — demonstrated product thinking, documentation-first development, and technical system design.
View GitHubContact
Available for full-time software engineering roles starting May 2027, open to relocation across the U.S., and STEM OPT eligible.
Direct: franciscomustico@gmail.com