Neuroscientist-turned-AI-Engineer
I bridge the gap between biological intelligence and artificial systems. My expertise spans from deep learning architectures to neuro-inspired algorithms.
Combining neuroscience principles with cutting-edge AI technology
Computer Vision, Neural Networks, MLOps, and Data Science with production-grade implementations
Transformers, Generative AI, Edge Computing - staying at the forefront of AI innovation
Unique perspective bridging biological intelligence with artificial systems and algorithms
Building intelligent systems that solve real-world problems
Self-taught implementation of an autonomous trading agent with behavioral finance integration. Built with Poetry, Docker, and Redis caching for optimal performance.
Real-time vehicle detection system using YOLOv5 with 89% mAP. Deployed on AWS EC2 with sub-100ms latency for production use.
Advanced risk assessment model with 0.92 AUC-ROC. REST API deployment with comprehensive testing and CI/CD pipeline.
Explore neuroscience concepts through interactive visualization. Adjust frequency parameters to see how different brainwave patterns emerge.