Currently working as a Research Engineer at IELEKTRON Technologies: I spend my time working on ADAS & LiDAR sensors with end-to-end Deep learning algorithms. I’m passionate about building Vision & Machine intelligence for self-driving vehicles.

I have been in the automotive domain as a software engineer for the past 3 years supporting tier-1 OEMs in developing ADAS KPI validation scripts for perception sensors like RADAR, and LiDAR along with OEDR (Object Event Detection Response) analysis.

Experience working with sensorics data combined with the experience of mathematical & logical-based implementation such as estimating ego vehicle trajectory, Road boundary estimation. We have developed an ML model for OEDR analysis with an accuracy of 94% on real-time data.

My master’s thesis on the project titled “End-to-end 3D object detection using LiDAR point cloud data” with Continental TCI.