Mechatronics engineering student passionate about building intelligent systems that bridge the gap between hardware, software, and networking, with a stronger pull toward the software side. I specialize in robotics, embedded systems, IoT, and machine learning, with hands-on experience ranging from drone automation to deep learning for computer vision. I’m on the path to becoming a robotics software engineer. I also have a strong interest in philosophy and a love for chess, math, and logic.
Collaborations on open-source projects related to robotics, AI/ML, or IoT Internship or research opportunities in robotics and intelligent systems development Writing and guest blogging on robotics, embedded systems, and automation
8h ago · 14 min read · I previously covered how a robot can navigate its way though a known environment but moving from point A to point B is way more complex than that. While path planning can take a robot from point A to
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Jan 20 · 11 min read · Introduction Modern image classification models have been able to achieve accuracies of over 90% on the ImageNet-1k benchmark dataset (which has 1000 classes). This is very impressive, given that the model is basically just a bunch of numbers. Everyt...
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Jan 5 · 17 min read · Introduction Navigating an unknown area uses an algorithm of its own; we can call that obstacle avoidance. But when the area has been mapped already (i.e., the robot has memory of the map of its environment), then the problem shifts from just avoidin...
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Nov 30, 2025 · 20 min read · The origins: Neural Networks and the human brain Neural networks were inspired by the network of neurons and synapses in the biological brain. A biological neuron receives input from its dendrites, performs some operation on the inputs, and then fire...
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