Chalasani Neha

As a key member of the Predictive Powertrain Controls team at Daimler Trucks AG, I am responsible for driving several core initiatives related to software management, process automation, and backend solutions for Over-the-Air (OTA) services. My key responsibilities include: - Developing and maintaining Go-based microservices on Microsoft Azure for processing and analyzing vehicle data. - Designing scalable backend solutions, including data storage in PostgreSQL and integration with Azure Event Hubs for eve

Backend Operations Development of new algorithms and methods Automation of tasks Code Deployment on Server

The primary objective of my Master Thesis is to develop a GIS model which is capable of determining the visibility between prospective ground antenna locations and a moving airplane. From determining the visibility analysis of the receiver positions to displaying the output on the visualization tool, the entire process is automated using QGIS tools. The focus of this research is to propose a method for calculating future analysis for existing wind turbines which identifies the visible and non visible locati

Worked on the University's datasets from the test suite ONYX and performed Descriptive analytics using python language

Automotive Software Engineering course covers the subjects in the field of Computer Science, Automotive Software Engineering, Real Time Communication system and Embedded systems such as: -Image Understanding -Designing Software for Embedded Systems -Hardware Software Co-Design I & II -Software En