Parth Gorkhe

I’m an Electronics & Telecommunication Engineering graduate focused on automation, embedded problem-solving, and signal- and data-driven decision making. I enjoy turning engineering tools into measurable outcomes, especially when accuracy and cycle time matter.

In my Manufacturing Engineer Trainee role at Bajaj Auto, I diagnosed false-positive detections in a machine vision system at the valve press station. By analyzing image processing logic and optimizing ML parameters, I improved detection accuracy and supported senior engineers with dataset collection for a sealant application machine.

As an Automation Engineer Trainee at Jekuma Tools & Gauges, I helped automate a crankshaft Total Runout Indicator (TRI) measurement system. This work enhanced measurement precision and reduced manual cycle time, reinforcing how thoughtful automation can directly improve operational excellence.

On the engineering side, I led TrafficSense AI, an AI-driven dynamic traffic signal optimization project that reduced average intersection delay by 30% in simulation and cleared emergency vehicles faster. I’ve also presented and published results through IEEE venues, and I bring the same teamwork and attention to detail to every cross-functional challenge.