Specializing in high-performance embedded systems, real-time inference optimization, and robotics platforms | UK-based
Software Engineer with deep expertise in Edge AI Inference, Robotics, and Embedded Hardware. Passionate about optimizing ML models for resource-constrained devices and building real-time autonomous systems. Currently focused on UK-centric opportunities in AI/Robotics research.
- 🔭 Working on: Edge AI deployment, real-time inference optimization, robotics middleware
- 🌱 Exploring: Advanced model quantization, heterogeneous computing, ROS2 ecosystem
- 🎯 Interests: Performance engineering, embedded ML, autonomous systems
- 📍 Location: UK-focused opportunities
- 💼 LinkedIn: varunvaidhiya
- 📧 Email: [email protected]
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class VarunVaidhiya:
def __init__(self):
self.role = "Software Engineer"
self.specializations = [
"Edge AI Inference Optimization",
"Robotics Middleware & Control Systems",
"Embedded Hardware Integration",
"Performance Engineering & Profiling"
]
self.current_focus = [
"Model quantization & pruning for edge devices",
"Real-time object detection on ARM platforms",
"ROS2 navigation & SLAM implementations",
"CUDA kernel optimization for inference"
]
self.looking_for = {
"opportunities": "UK-based roles in AI/Robotics",
"collaborations": "Open-source robotics & embedded ML projects"
}
def say_hi(self):
print("Let's build intelligent embedded systems together!")
#EdgeAI #Robotics #EmbeddedSystems #MachineLearning #PerformanceOptimization #ROS2 #ComputerVision #ModelQuantization #ARMArchitecture #CUDA #RealtimeInference #AutonomousSystems #SLAM #PyTorch #ONNX #TensorRT #EmbeddedML #IoT #RaspberryPi #PhDCandidate #UKTech #AIResearch #RoboticsEngineering
💡 Open to collaborations, research opportunities, and interesting projects in AI & Robotics!
⭐️ From varunvaidhiya | Last updated: 2025