I have worked extensively on the embedded software stack running on prototype vehicles. My work has spanned across the Robot Compute Module (RCM), controllers, and vehicle interface components, focusing on ensuring reliable communication and execution between hardware and software layers.

End-to-end integration workflow

I have contributed to multiple stages of the embedded software integration lifecycle: writing and deploying vehicle driver nodes, supporting calibration through software hooks, and validating safety-critical paths during commissioning.

Cross-team technical collaboration

My work has required continuous collaboration with hardware engineers, control system developers, calibration specialists, and operations teams to ensure smooth integration of embedded software with the vehicle platform.

Change management in embedded software

I have worked within established software release pipelines, assessing impacts of changes on CAN signal mappings, configuration files, and driver node implementations to maintain system stability.

Stakeholder-facing software integration

I have engaged with OEM partners to align software integration with vehicle-specific requirements, ensuring that embedded driver nodes, gateways, and communication interfaces match external system expectations.

Requirements to implementation

I have translated OEM requirements—such as safety signal handling or trajectory data sharing—into embedded software specifications and ensured they were implemented and validated on-vehicle.

Improved Dynamic Motor Drive controller and scheduler code on TI board F28379D and Aurix TC299 board. Successfully optimized code, enhancing motor control and task scheduling.

Created a custom XCP stack for calibration and measurement on a TI and Aurix board. Enabled proficient calibration and data exchange, enhancing the board's capabilities for configuration tasks.

Built automated scripts to run profile tests, compare the results with expected behavior, modify calibration variables on fly for better performance on dynamometers using vector CANape based programming language, calculation and scripting language. This has reduced the task of manual intervention required while running dynamometers.

I developed an automated verification and validation tool in Python, designed to thoroughly test new builds for regression. This tool has significantly minimized the need for manual intervention, leading to a notable acceleration in the process of assessing builds before they are deployed in the automotive system.

Developed an android application to display the gains of Dynamic motor drive to customer and business development team. This application has greatly helped in securing the new customers.

Developed Jenkins automatic build process, every time a new svn commit is made an automatic build is triggered which creates a Graphical User Interface, and an inverter build. This has reduced the manual task of building both the pieces of software separately improving the turnaround time and reducing the manual intervention.

1) Teach Under grad class of 45 students.

2) Teach Graduate class of 15 students.

3) Conduct Weekly quiz

4) Conduct Weekly recitation class

1) Developed a Salesforce based tool for Resource and Project management. This tool is used by project management team to keep track of projects for current quarter and associated resource available. Reports are generated based on triggers and update E-mails are sent to all the stack-holders.

2) Developed a Commercial Alert Opt out feature for Physicians.

3) Worked on security audits and resolving the found vulnerabilities.