I'm a learning-driven developer focused on low-level systems, algorithms, and how things work under the hood.
Current work: .NET backend engineer (KTLO) working with production systems, Docker, Kubernetes, MS SQL Server, Couchbase
Current study: AI security, LLM internals, ethical hacking, C programming
Tech stack: C, C#, Python, .NET, Linux, containers, cloud tools
Interests: Systems programming, security, prompt injection, adversarial examples, low-level algorithms
I use this space to study things properly, reading specs, writing code from scratch, understanding why before how.
The repos here are a lab. Sometimes they become something more.
Kaggle Activities
- Favorita Forecasting model (1 bronze medal)
- SentimentAnalysis IMDB 50K Movie Review (1 bronze medal)
- Use ngrok with streamlit (1 bronze medal)
- Levenshtein distance kernel
- Titanic dataset (first submission)
- Decision Tree with Iris Dataset
- Logistic Regression on Titanic
- KC Houses with Linear Regression
