I'm a software developer interested in how language models, algorithms, and data-driven systems work in real-world applications.
I enjoy building practical tools - from small automation scripts to full-stack systems - and exploring how algorithmic learning can be applied to finance, analytics, and decision-making.
- π€ Language model implementation & experimentation
- π Algorithmic learning, data analysis & finance-oriented use cases
- π Full-stack development (frontend + backend systems)
- ποΈ Automation tools (file aggregation, data pipelines)
- πΈοΈ Web scrapers & data collection systems
- π Networking fundamentals (TCP/IP, traffic analysis, Wireshark, tcpdump)
- π Small apps for file aggregation and automation
- π§ LM-based systems for data processing and analysis
- π₯ Full-stack worker management application
- π Algorithm-driven tools supporting data & financial analysis
- π·οΈ Custom scrapers for structured and unstructured data
- Applied machine learning & language models
- Algorithms and statistical thinking
- Data engineering & analytics
- Finance-oriented systems
- Backend architecture & scalability
- Learning more about applied ML and algorithmic decision systems
- Improving full-stack architectures
- Exploring practical LM use cases beyond demos
I like building systems designed for an AI-focused future, grounded in solid understanding. I believe AI is often misunderstood, but it has the potential to fundamentally change the way we live and interact with the world.