Building complete, working software products — and integrating AI (RAG systems, agents, LLM-powered features) into them with intention, not as a trend. Full-stack engineer at heart, applied AI engineer in practice.
- 🎯 Working towards a hybrid role: AI-Integrated Full Stack Developer / Applied AI Engineer — I build the whole product (frontend, backend, architecture) and design the AI layer on top of it (RAG pipelines, agents, LLM integrations)
- 🔭 Currently building AI-driven applications, low-level systems projects, and full-stack products — open to internship/job opportunities
- 🧑🤝🧑 Looking to collaborate on applied AI/ML and full-stack projects
- 🤝 Looking for help with internship/job referrals and feedback on my projects
- 🌱 Currently learning applied ML/LLMs, RAG architecture design, and AI agent orchestration
- 💬 Ask me about applied AI, full-stack development, RAG systems, and competitive programming
- ⚡ Fun fact: Away from the keyboard, I train for HYROX
clinical-triage-optimizer — Clinical case prioritization system under limited resources, combining combinatorial optimization with an LLM (Hugging Face). Directly in line with my applied-AI specialization: using a language model as one component of a larger, well-architected decision system.
fotball_irs — Football-IRS: a complete information retrieval system for the football domain, integrating a web data acquisition pipeline and an indexing/retrieval layer. Foundational groundwork for the retrieval side of RAG system design.
hex_smart_player — AI agent for the perfect-information, zero-sum game of Hex. Early exposure to designing agents that reason and make decisions under a defined rule set.
🏥 Polyclinic Management System — Full-stack Software Engineering team project (4-repo org: backend, frontend, database, docs) building a complete clinic management system with a modular architecture.
chertapro-site — My personal landing page: a responsive site introducing who I am and showcasing my work.
a-new-repo — My personal technical blog (built with Astro), where I document my process as a CS student — DSA progress, full-stack learning, and applied AI experiments.
fullstackopen-submissions — My exercises and projects from the University of Helsinki's Full Stack Open, the backbone of my full-stack engineering training (React, Node.js, TypeScript, testing, GraphQL, CI/CD).
http_server — An HTTP server built from scratch in C, for a solid, from-first-principles understanding of the protocol layer that every product I build ultimately runs on.
hulk-compiler — A compiler for the HULK language, written in Rust.
MatCom_Guard_Equipo_8 — Team systems project developed at MATCOM, written in C.
Strivers-A2Z-DSA-Solutions — My personal solutions and progress tracking through Striver's A2Z DSA Sheet in C++, the algorithmic foundation behind every system I design.


