Currently serving as Engineering Coordinator, leading the development of cutting-edge AI-powered warehouse automation systems. My expertise lies in architecting scalable, intelligent solutions that bridge the gap between artificial intelligence and real-world logistics operations.
- AI/ML Engineering: Deep learning, computer vision, neural network optimization
- System Architecture: Distributed systems, microservices, event-driven design
- Cloud Infrastructure: AWS (Lambda, ECS, SageMaker, S3), serverless architectures
- Backend Development: Python, FastAPI, asyncio, high-performance APIs
- Computer Vision: OpenCV, object detection, image processing pipelines
- MLOps: Model deployment, monitoring, continuous training pipelines
- Advanced AI Systems: Developing next-generation warehouse automation using deep learning
- Computer Vision: Real-time object detection and tracking for logistics optimization
- Kernel-Mode Security: Building low-level security monitoring systems for Windows
- MLOps Infrastructure: Designing scalable ML pipelines with AWS SageMaker
- Team Leadership: Coordinating engineering teams to deliver high-impact solutions
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Engineering Coordinator
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Building intelligent automation systems Driving innovation in logistics through AI, computer vision, and cloud-native architectures |
