Janvi Saddi
Google via Astreya - CAD Technician II
Austin, Texas, United States
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I am a Computer Science graduate and CAD/Data Automation professional with experience across data center design workflows, AutoCAD automation, process improvement, data analytics, and FMCG market research. I currently work as a CAD Tech 2 at Astreya, supporting Google data center design workflows by building custom tools that reduce manual effort, improve accuracy, and streamline engineering processes.
My background also includes FMCG and consumer insights experience, where I worked with panel Data, market research data, SQL, Power BI, dashboards, survey operations, and client reporting for business decision-making. I am passionate about using technology to solve real workflow problems, improve productivity, and help teams work more efficiently. I enjoy sharing practical lessons around automation, workflow improvement, analytics, and career growth in tech.
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Building Practical .NET Automation Tools for Engineering Workflows
In this session, I will discuss how .NET-based internal tools can reduce repetitive engineering work, improve accuracy, and standardize design workflows. Using real examples from CAD and infrastructure design environments, I will show how developers can identify manual bottlenecks, build workflow-focused automation, and create tools that teams can actually adopt.
From AI Experiments to Everyday Engineering Workflows
Many technical teams are experimenting with AI tools, coding assistants, and automation pilots, but the real challenge is turning those experiments into workflows that are useful, repeatable, and trusted by the team.
This session will share a practical approach for moving from scattered AI experimentation to everyday engineering workflows. Drawing from experience in workflow automation, internal tool development, data analytics, and CAD-based technical operations, I will discuss how teams can identify repetitive manual work, organize process knowledge, standardize inputs, add validation checks, and measure impact through time savings, reduced errors, and adoption.
The focus is not on AI hype, but on building practical workflows that improve quality, reduce friction, and help teams work more consistently.
ACM Irving Tech Talk July 2026 (In-Person) Sessionize Event
Atlanta .NET User group Sessionize Event
Janvi Saddi
Google via Astreya - CAD Technician II
Austin, Texas, United States
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