Kuthan Kukrer lyrics00

Hi, I’m Kuthan Kukrer 👋

UVA CS + CpE • AI/ML • Data + Systems • Builder of useful tools
Turning ideas into practical AI/ML solutions, clean code, and shareable projects

🎓 University of Virginia — Computer Science & Computer Engineering (GPA: 3.98)
💡 AI/ML intern and student developer focused on data handling, algorithm evaluation, and practical software development
🧭 Passionate about staying current with AI trends and shipping things that others can actually run
🧑‍🏫 Teaching Assistant (APMA 3100 — Probability): help students connect stats, data analysis, and AI ideas
🧪 Currently exploring: LLM apps (LoRA + RAG), MLOps on GitHub Actions, and reliable data pipelines

Languages: Python, Java, C/C++, JavaScript/TypeScript, SQL
AI/ML & Data: PyTorch, TensorFlow, scikit‑learn, NumPy, Pandas, OpenCV, Hugging Face, LSTM/CNN/ensembles
Web & Apps: Django, React, EJS, Bootstrap, Node.js, Heroku, Google Login, AWS S3, Whitenoise
Systems & Tools: Git/GitHub, Linux, Gradle, JUnit/Jest, Docker, REST/HTTP
Hardware/Low‑level: Quartus (VHDL), Operating Systems (Unix/Windows), Multisim, WaveForms, KiCad
UI/Client: JavaFX (FXML)
Math/Stats: Probability, Linear Algebra, Multivariable Calculus, Data Science

Sustain Yourself (Flask, ML + Gemini API)
- Trained an ensemble (XGBoost, SVM, Logistic Regression) to estimate carbon footprints and suggest habit changes
- Added a CNN to detect recyclable categories from an input image
LORA CLA App (Django, Heroku, AWS S3, Google Login)
- Social site for sharing LoRA models; supports posting, borrowing, comments, and email notifications
- Auto‑fetches images and generates descriptions from URLs using an LLM
Course Reviews CRUD (Java, SQL, FXML)
- Desktop app with persistent storage, auth, course creation, and per‑user reviews
- JavaFX UI with event handling and button animations
Economic Indicator Forecasting (LSTM)
- Predicted inflation and unemployment 12 months ahead using the FED API and macro features
Obesity Prediction (ML + Ensembles)
- Compared algorithms and ensembles across two datasets, reaching up to ~80% and ~97% accuracy with feature analysis
Game Dev @ UVA Club
- Hallow’s Thief (2D multiplayer PvP): three players vs. a monster; character selection and weapons
- Cosaint (3D, Unity): round‑based PvE where players upgrade a wizard with spells
Cyber Club / Cyber Patriot
- Practiced security hardening: firewalls, patches, audit policy edits, crypto puzzles

Explore more:

Gaming: strategy and co‑op titles; I enjoy designing game mechanics as much as playing them
Basketball: pickup games for teamwork, quick reads, and staying active
Nature: hiking local trails, sunrise/sunset walks, and exploring new parks
More I’m into: photography (especially landscapes), calisthenics/fitness, cooking new recipes, learning board games, and dabbling in astronomy on clear nights

Building: small AI/ML apps with clean data pipelines and reproducible environments
Learning: LLM fine‑tuning/LoRA, evals, and lightweight deployment patterns
Open to: internships and collaborations across AI/ML, backend, and data engineering