I am an Applied Informatics student at UJEP with a strong foundation in computer networks and building high-performance real-time data systems at the intersection of Edge AI, Backend Architecture, and Statistical Modeling.
- Bachelor's Thesis: System for Traffic Analysis Using Computer Vision
- Building a real-time pipeline for automated traffic monitoring.
- Tech Stack: Raspberry Pi 5, Hailo-8 (26 TOPS), YOLO, MQTT, PostgreSQL, FastAPI.
- Focus: Processing complex visual data with sub-second latency.
Beyond engineering, I am fascinated by how we interpret high-velocity data under uncertainty. I actively study:
- Bayesian Statistics: Updating hypothesis probabilities with new evidence.
- Statistical Intuition: Poisson & Normal distributions, Expected Value calculations.
- Fat-Tailed Distributions: Analyzing extreme events in volatile environments (Crypto/HFT).
- Languages: Python (FastAPI, Automation, Scripting), C#, PostgreSQL, Git
- Edge & IoT: Hailo-8, YOLO, Raspberry Pi, MQTT
- Infrastructure: CCNA (Enterprise Networking & Security), Linux (Advanced User), PostgreSQL
- Tools: Git, Docker, Windows Administration
University - Archive with brief description of my coursework and seminar papers done at University.
I am actively looking for international internship opportunities (Summer / Autumn Trainee) in Northern Europe (Sweden, Denmark, Finland) within Data Solutions, Data Analysis, Edge AI, Software Engineering, Backend, or Quantitative Analysis.