SREEPADA B L

Project Name: Condor M6, CD7, focused on NVMe SSD technology.

• Language Used: Python
• Environment: Linux, windows OS
• Responsibilities:
• Developed and executed tests for CM6/CD7 firmware features by analyzing NVMe specifications.
• Automated test cases with Python, integrating them into ATE framework successfully.
• Optimized code through proactive requests for reviews and managed commits in Git repository.
• Established continuous integration and delivery workflows using Jenkins for streamlined deployment.
• Documented bugs in Redmine, performing thorough regression testing and root cause analysis.
• Investigated zoned namespace versus conventional namespace distinctions for SSD technology.

Project Name: CTOD NAND CT Lab Tool Automation

• Language Used: Python
• Environment: Linux, windows OS
• Developed GUI tool to support various screen resolutions across platforms.
• Developed pattern files in GUI to accommodate various project folder sizes.

Project Name : NVIDIA DRIVE OS Automotive (VCU, ADPM SoC)

• Language used : Python
• Environment : Linux, QNX
• Responsibilities:Developed comprehensive test plan analyzing customer requirements for VCU ADPM, emphasizing Ethernet and MACsec functionality.
• Automated testing processes using QVS framework to improve logging, failure analysis, and debugging efficiency.
• Implemented AI cursor pipeline for streamlined management of test cases from planning through automation and results updates.
• Identified bugs and documented root cause analysis to enhance product quality.

Project Name : NVIDIA DRIVE OS Automotive (Orin, Thor-X/Thor-Y SoC)

• Language used : Python
• Environment : Linux, QNX
• Responsibilities:Developed comprehensive test plan by analyzing customer requirements for Orin, Thor SoC focusing on Ethernet and MACsec functionality.
• Automate using QVS framework and testing processes to enhance logging, failure analysis, and debugging efficiency.
• Apply QVS rules and enhance python code using cursor AI for the newly added cases
• Analyzed product release outcomes through retrospective meetings to identify recurring issues.
• Investigated corner cases and filing bugs, reported findings for system reliability.

Project Name : NVIDIA DRIVE OS Automotive (N1Auto, Maarva Thor Y SoC)

• Language used : Python
• Environment : Linux, QNX
• Responsibilities:
• Contributed to SoC chip bring-up, developing comprehensive test plans from inception.
• Collaborated with cross-module teams to gather requirements and create scalable test plans for N1Auto and Maarva platform SoC chips.
• Automated testing processes using QVS framework to improve logging and debugging efficiency.
• Enhanced Python code by applying QVS rules and utilizing Cursor AI for new cases.
• Identify bugs including corner cases and deliver Root cause analysis required for product quality enhancement