I'm fascinated by how technology can understand and simplify our lives. This interest took me from a strong foundation in software engineering to a deep dive into AI, Agentic workflows, and Full-Stack development. For me, it's not just about writing code; it's about architecting scalable systems that solve real problems, whether that is launching an AI-powered matching platform or designing serverless semantic search engines. I enjoy the process of transforming a complex technical challenge into a simple, elegant, and production-ready solution.
📖 The Story So Far
- My journey into technology started with a strong foundation in software principles through a Diploma in Computer Engineering. I developed my skills in Java, Data Structures, and Object-Oriented Programming. This sparked my interest in creating strong applications and drove me to pursue a Bachelor's degree in Artificial Intelligence and Data Science.
- This focus allowed me to explore machine learning, NLP, and cloud computing in depth. To enhance my academic experience, I looked for hands-on opportunities, starting with an AI internship at the Edunet Foundation where I transitioned from theory to practice by implementing ML models. Currently, as an AI Computer Science Engineer at DRYTIS, I architect and deliver custom full-stack software and NLP pipelines for independent clients, managing the entire lifecycle from database optimization to AI feature deployment.
- My passion for building shines through in my projects. Recently, I solo-architected and launched LATCH, an AI job-matching platform built in just 20 days that organically reached 850+ visitors in its first month. I also build robust AI systems like Lens, an Agentic Document Analyst using LangGraph, and full-stack real-time applications like Room Loop. These projects illustrate my main interest: bridging scalable backend architecture (FastAPI/PostgreSQL) with intelligent AI features (RAG/Agents) to address real-world challenges.