I'm a Computer Engineer and CTO specializing in AI, Computer Vision, and Embedded Systems. I bridge the gap between cutting-edge software and physical hardware, bringing intelligent systems to edge devices. My passion lies in architecting end-to-end solutions that solve real-world problems through autonomous systems and advanced image analysis.
- CTO at Piksel Analitik - Leading development of AI-driven industrial solutions
- Computer Vision - YOLOv11, object detection, and real-time processing
- Edge AI - Deploying models on Raspberry Pi and embedded devices
- Autonomous Systems - UAVs, telemetry, and autonomous control architectures
- High-Performance UI - PySide6 desktop applications
Founder & CTO
- Architecting end-to-end intelligent systems for industrial clients
- Developing AI-driven image analysis platforms
- Building enterprise resource planning systems (Piksel-ERP)
- Leading technical vision and product development
- Degree: Computer Engineer (EEE - Electrical & Electronics Engineering)
- Specialization: Bridging software and hardware through intelligent systems
- Experience: Full-stack development from embedded systems to enterprise solutions
- Languages: Python, C++, PHP, JavaScript, TypeScript, Go, Rust
- AI/ML: TensorFlow, PyTorch, OpenCV, YOLOv8/v11, CUDA
- Backend: Laravel, Node.js, FastAPI, Django, PostgreSQL, Redis
- Frontend: React, Vue.js, PySide6, HTML5, CSS3
- DevOps: Docker, Kubernetes, Linux, AWS, GitHub Actions
- Embedded: Arduino, Raspberry Pi, STM32, LoRa, SPI, I2C
- Robotics: ROS, autonomous navigation, computer vision pipelines
- 3D: FDM printing (Flashforge, Creality), CAD design
Custom Python ground station with real-time SPI communication architecture between Raspberry Pi and Arduino using LoRa modules for long-range data transmission. Includes:
- Live GPS tracking and altitude monitoring
- Sensor data aggregation and analysis
- Custom communication protocol
- Web-based dashboard for telemetry visualization
Stack: Python, LoRa, SPI, Raspberry Pi, Arduino
Fully autonomous, offline license plate recognition system engineered to run seamlessly on Raspberry Pi 5. Features:
- Real-time video processing
- YOLOv8-optimized detection pipeline
- Zero internet dependency
- High accuracy on embedded hardware
- Timestamp and geolocation logging
Stack: Python, YOLOv8, OpenCV, Raspberry Pi 5, TensorFlow Lite
Production systems deployed for industrial clients:
- Piksel-Net: Live, AI-driven image analysis platform for quality control and automation
- Piksel-ERP: Comprehensive enterprise resource planning system with real-time insights
- Industrial-grade performance and reliability
- Multi-client deployment capability
Stack: Python, FastAPI, React, PostgreSQL, Docker, AWS
Real-time UAV (drone) detection AR platform leveraging YOLOv8-Nano and Vuforia:
- Mobile AR interface for threat detection
- Low-latency inference on mobile devices
- Real-time alert system
- Integration with security infrastructure
Stack: YOLOv8-Nano, Unity, Vuforia, C#, Mobile
Advanced autonomous combat and air defense architectures:
- Ares: Combat autonomous system with intelligent targeting
- Kuzgun: Air defense and threat mitigation platform
- AI-driven decision making and path planning
- Real-time threat assessment
Stack: Python, Computer Vision, Autonomous Systems, C++
| 🤖 AI & Machine Learning | Computer Vision, YOLO, Object Detection, Deep Learning, CNNs, Transfer Learning |
| 🏗️ System Architecture | End-to-end system design, microservices, scalable platforms, real-time systems |
| 🔌 Embedded Systems | Raspberry Pi, Arduino, STM32, IoT, low-level programming, hardware integration |
| 🚀 DevOps & Cloud | Docker, Kubernetes, CI/CD, AWS, infrastructure as code, automated deployment |
| 💻 Full-Stack Development | Backend, frontend, database design, API development, real-time applications |
| 🤝 Team Leadership | CTO experience, technical mentoring, architecture decisions, product vision |
- ✅ Built production systems serving industrial clients across multiple verticals
- ✅ Deployed AI models on embedded devices with 95%+ accuracy retention
- ✅ Architected scalable platforms handling real-time data processing
- ✅ Led technical teams and made critical architecture decisions
- ✅ Contributed to autonomous system development and deployment
- ✅ Optimized computer vision pipelines for edge devices
"Technology should serve humanity. Whether it's bringing AI to the edge, automating critical processes, or building autonomous systems, every line of code should solve a real problem."
I believe in:
- Practical Innovation: Solutions that work in production
- Edge-First Thinking: Bringing intelligence to where it's needed
- Full-Stack Ownership: Understanding every layer of the system
- Continuous Learning: Staying at the frontier of technology
- 🔬 Research Projects: Computer vision, autonomous systems, edge AI
- 💼 Consulting: System architecture, technical leadership, AI implementation
- 🚀 Startups: Co-founding opportunities in AI/robotics space
- 📚 Mentorship: Helping others build intelligent systems
- 💬 Partnerships: Strategic collaborations on impactful projects
Feel free to reach out for:
Project collaborations • Technical discussions • Job opportunities • Mentorship
LinkedIn • Portfolio • Twitter • Email
Last updated: 2026 | Always building something interesting...