Experience time
Edge AI & Deep Learning Specialist with 8+ years of experience in deploying real-time ML models on resource-constrained devices. Skilled in TensorFlow, PyTorch, ONNX, and model optimization techniques like quantization, pruning, and knowledge distillation. Expert in building low-latency computer vision systems using NVIDIA Jetson, Coral Edge TPU, and ARM microcontrollers. Strong background in AutoML, Neural Architecture Search, and embedded systems programming (C++, Python). Proven track record in creating scalable edge AI solutions for surveillance, agritech, and IoT applications.
Work Experience
Senior Engineer
Vision Next AI
March 12, 2024
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Present
Designed and deployed optimized deep learning models for edge devices in smart surveillance and industrial automation. Led a team in building a real-time video analytics system using Jetson Xavier NX, achieving a 60% reduction in model size without compromising accuracy. Integrated ML pipelines with AWS Greengrass for seamless cloud-edge communication.
Education
Ph.D. in Computer Engineering – IISc Bangalore
Ph.D
April 9, 2016
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May 10, 2024
Ph.D. in Computer Engineering from IISc Bangalore with a research focus on hardware-aware deep learning, neural network compression, and efficient model deployment on edge devices. Developed novel algorithms for real-time inference under power and latency constraints, with publications in top-tier AI and embedded systems conferences.
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