Bridging Silicon Design and Public Outreach: The Journey of an Analog IC Engineer

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Published: October 25, 2026

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In the high-stakes world of semiconductor manufacturing, the engineering bench is typically where hardware designers spend their careers. Developing custom integrated circuits (ICs) requires precise simulation, floorplanning, and layout verification before sending masks off to the foundry. However, translating complex silicon architectures into relatable concepts for external audiences has become an equally vital discipline for modern hardware engineers.

For Preethi Ashwath, an integrated circuit designer in the consumer electronics group at Analog Devices, the path toward microelectronics began with early exposure to physical science and systems engineering in Bengaluru, India. Pursuing her undergraduate degree at the SJB Institute of Technology, she aimed to enter the microelectronics sector. Her graduate studies in electrical engineering at the University of California, Irvine, further narrowed her focus onto transistor-level circuit behavior.

Inside Silicon Design: ESD Protection, Wearable Analog Front-Ends, and Technical Outreach

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Published: October 24, 2026

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Semiconductor design traditionally takes place in quiet laboratories, centered around schematics, parasitic extraction tools, and computer simulations. However, as integrated circuits become more deeply embedded in everyday consumer products, the bridge between deep technical engineering and real-world application has never been more vital. For Preethi Ashwath, an integrated circuit designer at Analog Devices, building high-performance microchips and communicating their underlying mechanics go hand in hand.

Specializing in analog and mixed-signal domain design, Ashwath focuses on critical architectural components that ensure chip reliability and sensor accuracy. Her work spans across protection structures for complex microchips, biomedical hearables, low-latency audio transmission, and optical power delivery systems for emerging hardware platforms.

Safeguarding Human Knowledge: Inside Wikipedia's Engineering Approach to Detecting Synthetic AI Content

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Published: October 23, 2026

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As consumer generative artificial intelligence tools reached widespread adoption, open-access knowledge bases faced an unprecedented surge in synthetic content. Wikipedia, long established as a primary reference for human-curated information, quickly encountered a high volume of automated submissions. What began as scattered entries generated by early large language models rapidly evolved into a persistent data integrity challenge across multiple languages.

In response to this surge, community volunteers formed WikiProject AI Cleanup in late 2023. Led by contributors including Ellia Lebleu—a researcher pursuing a doctorate in artificial intelligence at France's Inria Center—the project focuses on auditing, flagging, and removing machine-written articles that fail to meet strict editorial criteria. This ongoing effort highlights a critical engineering problem in the modern internet ecosystem: preserving authentic data pipelines when synthetic data generation is cheap and ubiquitous.