Software Engineer

Lukas Kanopka

Full-stack (Python/FastAPI/Vue) + applied machine learning.

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40% faster APIs 80% less manual work 20× faster encoding

Proof, Not Noise

A few numbers I’m proud of.

40%
Faster API responses (Swimage)
80%
Manual work reduced (pipeline)
20×
Faster encoding (ClipAndTrim)
3.96
UF GPA (CS, Minor Stats)

About

Form follows function—so does my work.

Hello.

I’m Lukas, a University of Florida Computer Science student (minor in Statistics) who loves building end-to-end products. I’ve shipped full-stack systems in production, integrated LLM APIs into real workflows, and I care deeply about performance and clean UX. Outside of coding, you’ll usually find me playing volleyball or traveling.

Education

University of Florida — B.S. Computer Science, Minor in Statistics
Expected May 2026 - GPA 3.96

NLP Operating Systems Data Structures Algorithms Statistical Modeling Regression

Skills

Languages
PythonJavaC++SQLRJavaScript
Web
FastAPIFlaskVue.jsReactNode.jsPydanticSQLAlchemy
Tools / Cloud / ML
GitDockerGoogle CloudDigitalOceanNetlifyPyTorchScikit-learnPandasNumPySpaCy

Leadership & Involvement

  • UF Ignite Student Innovation — Member
  • UF Men’s Club Volleyball — Head of Merchandise (2024–25)
  • UF Women’s Gator Volleyball — Volunteer Practice Player (2024–Present)

Certifications

Supervised Machine Learning (DeepLearning.AI & Stanford)

Experience

Built to ship. Built to scale.

Software Engineer

Swimage - Remote - Aug 2025 – Present

  • Spearheaded backend migration of a legacy client portal to a modern Vue.js + FastAPI stack; improved API response times by 40% via optimized SQL queries and efficient Pydantic serialization.
  • Architected a full-stack interface (Python + Vue.js) to orchestrate remote OS and software installations across thousands of endpoint computers.
  • Engineered an image-creation engine using modular building blocks and advanced flattening logic to compile and push deployment configurations efficiently.

Full Stack Software Engineer Intern

Swimage - Jun 2025 – Aug 2025

  • Engineered a scalable Python data pipeline for a core classification feature, integrating multiple LLM APIs (Google Gemini, OpenRouter).
  • Reduced manual work time by 80% by automating processing, classification, and insertion into an MS SQL database.
  • Designed a secure multi-tenant auth system (FastAPI + JWT) using a bitmask-based permissions model for scalable role management.

Freelance Full Stack Developer

ClipAndTrim.io - Remote - Mar 2025 – Aug 2025

  • Owned end-to-end delivery of a full-stack web app that lets users create, preview, and download YouTube clips from timestamps.
  • Built a FastAPI backend with yt-dlp + FFmpeg; deployed on DigitalOcean and used Beam.cloud GPU acceleration for 20× faster encoding than CPU-based processing.
  • Implemented a responsive React/TypeScript frontend with Stripe + Google OAuth, processing user data and payments through Supabase.
Visit ClipAndTrim

Projects

Big ideas, sharp edges, real shipping.

ClipAndTrim.io

Live

Create, preview, and download clips from YouTube timestamps with a FastAPI + FFmpeg backend and a React/TypeScript frontend.

FastAPIFFmpegReactTypeScriptSupabaseStripe
Visit Site

Gator Beach Volleyball Tournament App

100 MAU

Tournament management with schedules, pools, and live standings; automated imports and bracket generation.

Vue.js 3TypeScriptSupabase
Visit Site

Programming Language Design & Implementation

Course

Built a statically-typed language in Java: lexer, recursive-descent parser, type analyzer, tree-walk evaluator, and Java codegen.

JavaCompilersInterpreters

GPT Model

Personal

A modular GPT model in PyTorch with an efficient training loop and dropout regularization.

PyTorchPythonNLP

Spotify Floater

macOS

A floating desktop widget for macOS that makes Spotify access instant.

SwiftSwiftUIOAuth 2.0 PKCE
View on GitHub

Degrees of Spotify

Personal

Calculates degrees of separation between artists via collaborations, using Spotify API data with a React frontend.

PythonReactSpotify API
View on GitHub

Writing

A published take on real-world LLM intelligence.

GraphRAG: A Massive Leap in LLM Real-World Intelligence

Intelligence - Q4 2025

A short article exploring GraphRAG and how graph-structured retrieval can be used to organize context for LLM applications. It’s written for practitioners who want a practical mental model, not hype.

Read Publication

What I Bring

Bold execution with clean edges.

Production full-stack delivery
From UI → API → database, shipped in real environments.
Performance-focused APIs + pipelines
Optimized SQL, efficient serialization, automated workflows.
Practical ML integration
LLM APIs, PyTorch training loops, real constraints.
Clean UI systems + UX
Design systems, accessibility, and intentional interaction.

Contact

Let’s talk. Crisp, simple, direct.

Reach me

Email
lukaskanopka@icloud.com
GitHub
github.com/lukaskanopka
LinkedIn
linkedin.com/in/laurynaskanopka
Email Me Resume

FAQ

What roles are you targeting?
Entry-level Software Engineer roles where I can ship full-stack work and grow fast.
What stack do you like most?
Python/FastAPI + Vue/React, with SQL at the core. I also enjoy practical ML work when it connects to product.
When do you graduate?
Expected May 2026 (University of Florida).

Final CTA

Let’s build something bold.

If you’re hiring or collaborating, I’d love to talk.

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