
Kaushal Shah
@kaushalshah
I build high-accuracy computer vision and edge AI systems optimized for real-time hardware.
What I'm looking for
I'm currently building scalable computer vision applications at WebOccult Technologies, including ANPR, facial attendance, and metal plate inspection systems that achieve 96%+ average inference accuracy.
I optimize AI models for real-time NVIDIA Jetson deployment using TensorRT, delivering at least 2x FPS improvements while working within strict thermal constraints. I've also cross-compiled solutions across Hailo, DeepX, MemryX, NVIDIA Jetson, and Google Coral TPUs, improving hardware utilization by 30%.
My projects span a 98% accurate ANPR system, an autonomous car using Dijkstra's algorithm, an IMU-driven Air Drums device, and an aiding jacket for visually impaired users. I build with Python, Embedded C, ROS, OpenCV, PyTorch, CUDA, Arduino, and edge hardware.
Experience
Work history, roles, and key accomplishments
Edge AI / AIML Engineer
WebOccult Technologies
Jan 2024 - Present (2 years 8 months)
Engineered and deployed scalable computer vision applications (ANPR, facial attendance, metal plate inspection) using PyTorch and OpenCV, achieving 96%+ inference accuracy. Optimized AI models for real-time inference on NVIDIA Jetson platforms with TensorRT, and cross-compiled solutions across multiple edge AI accelerators.
Education
Degrees, certifications, and relevant coursework
LJ Institute of Engineering and Technology
Bachelor of Engineering, Electronics and Communication
Grade: 8.28 CGPA
Pursued a Bachelor of Engineering in Electronics and Communication, achieving a CGPA of 8.28.
Availability
Location
Authorized to work in
Website
kaushalshah.mePortfolio
kaushalshah.meSalary expectations
Job categories
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