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, SQL, C#, Bash
- Backend & Databases: FastAPI, PostgreSQL, REST APIs, MQTT
- Edge AI & Computer Vision: Hailo-8 NPU, YOLO, GStreamer, Raspberry Pi
- Infrastructure & Tools: Linux (Advanced), Docker, Git, CI/CD, Enterprise Networking & Security (CCNA)
University - Archive with brief description of my coursework and seminar papers done at University.
I am graduating in January 2027 and am open to Backend, Data Engineering, Platform, or Edge AI roles and engineering placements (starting early 2027), where I can build scalable data pipelines and hardware-accelerated systems.