• Reduced wait-time for chip performance verification by 2 years by building simulation software for Self Driving Car’s computer vision use cases, using C++.• Saved 120 hours of product cycle time with the development of an automated performance verification software using C++, Python, Perl, HTML, JSON, and XML.• Boosted company revenue by enabling improved chip design decisions and achieving a target response time of 50 nanoseconds for 9% more Tegra use cases.• Collaborated with 2 international customer teams and increased software compatibility and adaptability across teams.

• Improved resource allocation efficiency by 6% and test feasibility rates by 4% by generating resource utilization profilesfor different tests using Python and Linux shell scripting.• Developed an automated test launching and monitoring software using Linux shell scripts and Perl. This helped build a swift failure management system and thus reduced product testing time by 13%.

• Built a statistical trace model in Python for CPU memory transactions that improved test simulation time by 19%.

Increased Current gain by 195% by analyzing the CCD driver circuit which is used inside imaging payloads of ISRO satellites.