Aditya Sood is a hardware-focused engineer and graduate teaching assistant at Purdue with 8 years of experience bridging circuit design, tooling, and validation across academia and industry. He has driven measurable automation and coverage gains at Texas Instruments—from integrating ATPG into AI-driven flows to building dependency and visualization tools that added minimal compile overhead. At Purdue he revamps curricula and mentors students to connect low-level hardware concepts to system-level consequences, and his background spans post-silicon validation, ATE data analysis, and embedded interfacing. He combines a craftsman’s attention to precision with a curiosity for tooling that exposes assumptions and accelerates closure, often turning bench findings into scalable processes and feedback for EDA partners.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at Purdue University
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