I am a computer science student at the University of Florida working across full-stack engineering, applied machine learning, and systems programming.
I like projects where the user experience matters just as much as the implementation underneath. That has taken me from a live study product and collaborative web applications into speech ML, file systems, networking, and memory management.
I am looking for internships and early-career roles where I can contribute quickly, keep learning, and work on software that rewards strong technical fundamentals.
Kerwin Larrobis Jr.
Product-minded software, applied ML, and systems work.
Full-stack
Product work that stays strong beyond the UI.
Applied ML
Practical workflows, evaluation, and guardrails.
Systems
File systems, networking, memory, and debugging.
What I look for in the work
The pattern I keep coming back to is simple: start with a real use case, follow the implementation until the constraint becomes the interesting part, and keep refining until the result feels deliberate.
Full-stack product work
I like building products that feel clean in front of the user and stay disciplined in the implementation underneath.
Applied machine learning
I am most interested in ML when it sits inside a real workflow and has to earn its place through structure, evaluation, and reliability.
Systems depth
I spend real time on lower-level work too, because memory, persistence, protocols, and debugging shape the software long before the UI does.
Selected work
The strongest examples of my work span a live study product, collaborative full-stack development, applied machine learning, and lower-level systems programming.
Live full-stack product
A serious product and algorithm project built around puzzle quality, reproducible generation, and a responsive user experience.
Independent full-stack web app
Next.js · FastAPI · Python · AI-assisted clue generation
Team full-stack project
A collaborative full-stack build where I worked on authentication, user-flow polish, and integrating the frontend cleanly with backend behavior.
Team full-stack web app
React · TypeScript · Node.js · Express · +3
Applied machine learning
An applied ML project that covers the whole workflow from audio preprocessing through feature extraction, model training, and evaluation.
Independent machine learning project
Python · NumPy · Pandas · Librosa · +2
Systems programming
Lower-level C++ work involving memory correctness, static libraries, POSIX I/O, FUSE, Linux tooling, and debugging under tighter constraints.
C++ systems programming project set
C++ · POSIX I/O · FUSE · Linux / WSL · +2
How I work
The work I keep coming back to sits at the overlap of product clarity, technical depth, and the discipline to make the details hold up.
I like building software end to end, then refining it until the experience feels clear, dependable, and worth using more than once.
I like ML projects where preprocessing, feature quality, and evaluation matter just as much as the model choice itself.
I enjoy file systems, networking, memory management, and the kind of debugging that forces a sharper mental model of the machine.
Languages
Python / C++ / C# / Java / JavaScript / TypeScript / HTML/CSS / SQL
Frameworks / Libraries
Next.js / React / FastAPI / Node.js / Express / Prisma / NumPy / Pandas / scikit-learn / Librosa / Matplotlib / SFML
AI / ML
Feature extraction / Speech / audio processing / Random Forest workflows / Dataset preparation / Model evaluation / Neural network fundamentals
Systems / Tools
PostgreSQL / Docker / Git / GitHub / Linux tooling / POSIX I/O / FUSE / Static libraries / CMake / REST APIs
Concepts
Object-oriented programming / Data structures & algorithms / Systems programming fundamentals / Concurrency / distributed reasoning / Full-stack application design / Linear algebra / Probability
Education
I am working toward a B.S. in Computer Science, with a minor in Food Science and a self-directed concentration in AI/ML.
B.S. in Computer Science
Minor in Food Science
Self-directed concentration in AI/ML
I am open to software engineering, full-stack development, AI/ML-adjacent work, and systems or infrastructure-leaning roles.
Organization
It keeps me close to how other students are applying models, tools, and workflows in real projects.
Organization
It keeps me around collaborative development, code review, and the discipline of writing software for other people.
Organization
It sharpens the security side of my thinking and fits naturally with my interest in systems work.
Contact
I am looking for internships and early-career opportunities where I can contribute quickly, keep learning, and work with people who care about doing the details well.