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