Computer Vision | AI Inference | ML Systems

Machine Learning Engineer specializing in AI inference systems and GPU-accelerated deep learning. I focus on optimizing computation for real-world deployment, with hands-on experience in CUDA programming, model quantization, ONNX conversion, and profiling inference pipelines for performance across diverse hardware. I love working at the intersection of systems and machine learning, improving model throughput, latency, and resource efficiency. My recent work includes designing and optimizing high-performance perception and generative AI pipelines for edge and cloud environments. I’m driven by building AI that’s not just accurate but fast, scalable, and production-ready.