I am Jayalakshmi K, an AI/ML engineer with 5+ years of experience building GPU-accelerated AI systems and deploying computer vision models on edge devices. I specialize in TensorRT, ONNX, PyTorch model optimization, and real-time inference on NVIDIA Jetson platforms, with a strong background in automotive embedded systems and integrating AI with IoT hardware for production deployments. I have led end-to-end ML workflows from data collection and annotation to model training and edge deployment, and I enjoy bridging hardware and software for scalable AI in mobility and healthcare.
In my career, I’ve collaborated with cross-functional teams (hardware, network, cloud) to design robust edge AI pipelines, implemented monitoring and benchmarking for low-latency video analytics, and ensured security and compliance in enterprise IoT environments. I’m passionate about applying AI to real-world problems and delivering production-ready solutions on embedded platforms.
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