About Me

I'm a Computer Engineer and AI Systems Developer based in Baku, Azerbaijan, currently pursuing an MSc at Mersin University. I serve as AI Department Manager at DEFTECH Azerbaijan, where I lead AI-driven defense technology development.

My core strength is Computer Vision and real-time object detection — working across every major YOLO generation end to end, from raw dataset engineering to GPU-accelerated production deployment on live video feeds. On the UAV side, I design autonomous drone systems, custom ground control stations, and GPS-free navigation solutions.

🧠

AI & Computer Vision

Full YOLO pipeline, real-time inference, CUDA, RTSP, object tracking, dataset engineering.

🚁

UAV & Autonomous Systems

F450 multirotor, MAVLink, DEFTECH GCS, GPS-free visual navigation, gimbal control.

⚡

Backend & Full-Stack

Laravel, React, Vue.js, Next.js, Nginx + Apache, secure REST APIs, Linux hardening.

🔩

Embedded & IoT

ESP32, Arduino, TFT/LVGL displays, GSM modules, hardware ↔ AI inference loops.

Skills

🧠 AI & Computer Vision
Full YOLO pipeline across all versions (v5 → v12, latest: YOLOv12), real-time object detection & tracking on live RTSP feeds, dataset engineering from scratch, model training & fine-tuning, CUDA-accelerated GPU inference. TensorFlow, PyTorch, OpenCV.
🚁 UAV & Autonomous Systems
End-to-end drone development — hardware (F450, Pixhawk/CUAV), MAVLink protocol, ArduPilot/PX4, GPS-free visual navigation, custom Ground Control Station development, gimbal integration, FlightGear simulation environments.
⚡ Backend & Full-Stack
Production-grade Laravel architectures, REST API design, Vue.js / React / Next.js. Nginx + Apache server management, Linux administration, security hardening (Fail2Ban, mod_security, rate limiting, hCaptcha). MySQL, PostgreSQL. Python, PHP, C++, JavaScript.
🔩 Embedded & IoT
ESP32 / ESP32-C3, Arduino, TFT displays with LVGL, GSM modules. Real-time hardware ↔ AI inference command loops via UART, SPI, I2C.

Resume

Education
Baku 249№ School
2005 — 2016
Code Academy — Full Stack Development
2016
Mersin University — Computer Engineering (BSc)
2017 — 2022 · Graduated
Algorithms, software engineering, embedded systems. 30% English-medium.
Mersin University — Computer Engineering (MSc)
2023 — In Progress
Research: AI-based UAV navigation & computer vision for target identification.
Experience
CMS Developer — Ugur Agency
2014 · Azerbaijan
Head Developer & Founder — Developing Azerbaijan
2017 — Present
Software agency. Full-stack web, AI integrations, server management.
Head Developer — Socommerce Software (Remote)
2019 — Present · Turkey
E-commerce platform architecture. Laravel, API design, AI voice recognition, security hardening.
Engineer — National Aviation Academy of Azerbaijan
2024 — Present
UAV systems engineering, AI object detection for aviation & border security, autonomous systems R&D.
AI Department Manager — DEFTECH Azerbaijan
2024 — Present
Leading AI department at defense technology company. YOLOv8+ real-time detection systems, GPU-accelerated pipelines, military GCS with gimbal integration and live RTSP analysis.
Technical Proficiency
AI & Computer Vision
YOLO (all versions)92%
OpenCV88%
Computer Vision85%
TensorFlow / PyTorch78%
UAV & Autonomous Systems
MAVLink / Flight Control84%
GCS Development82%
GPS-free Navigation76%
Drone Hardware80%
Backend & Full-Stack
Python87%
PHP / Laravel82%
JS / Vue / React78%
MySQL / PostgreSQL76%

Projects

AI & Computer Vision
DEFTECH Military GCS — Real-Time AI Detection
AI · Defense
Military-grade Ground Control Station for DEFTECH Azerbaijan. GPU-accelerated object detection on live RTSP feeds, Topotek gimbal integration over UDP, CUDA-enforced YOLO inference, Azerbaijani-language interface.
YOLOCUDA RTSPGimbal UDP Python / PyQtMAVLink
Full YOLO Pipeline — All Versions
Computer Vision
End-to-end object detection pipeline across every YOLO generation. Dataset collection, annotation, training, fine-tuning, and production inference on live video.
Experience v5v6v7 v8v9v10 v11v12 ★
Dataset Engineering Fine-tuning CUDA / RTX Object Tracking
YOLOv8 Lemon Detection — IDAP-2024
Research
Agricultural CV: lemon detection & quality classification. Presented at IDAP-2024 international conference.
YOLOv8Agriculture AI IDAP-2024
UAV & Autonomous Systems
AI Computer Vision Drone — Military / Agricultural
UAV · AI
Custom F450 multirotor with integrated CV for military target identification and agricultural monitoring. AI acts as primary decision-maker on detection events.
F450Pixhawk / CUAV MAVLinkYOLOArduPilot
GPS-free Dual-Drone Autonomous Mapping
Autonomous
Dual-drone coordination in GPS-denied environments using optical flow, visual odometry and map-based decision logic for fully autonomous indoor flight.
Visual OdometryOptical Flow MAVLinkOpenCV
Web & Embedded
ESP32-C3 Smart Weather Clock — TFT + LVGL
Embedded
1.44" ST7735 display on ESP32-C3 Mini. OpenWeatherMap API, NTP sync (Baku UTC+4), LVGL UI. Custom TFT_eSPI driver patched for C3 processor.
ESP32-C3ST7735 TFT_eSPILVGL
Laravel E-Commerce Security Architecture
Backend
10-layer security stack: honeypot, rate limiting, XSS/SQL blacklisting, hCaptcha, KVKK, Fail2Ban custom rules, mod_security, Telegram audit alerts.
LaravelNginx Fail2Banmod_security