“Vivian has excellent organizational insight - she clearly and quickly identifies issues beyond her scope related to cultural, operational and engineering delivery. And then she gets to work fixing them. She brought some much needed energy and insight to the women in engineering at Zapier group, and also set examples of solid delivery practices and shared them to help other engineering teams. It's clear that Vivian is a valuable asset to her own team and beyond. It's a pleasure to be on the same team as Vivian.”
About
A highly adaptive servant leader and problem solver with over 15+ years of experience…
Experience
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66 people have recommended Vivian
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Eagleye Digital LLC
Did you know? Automated tests can detect regressions before users notice. Automated test suites running in CI/CD surface regressions early, reduce rollback risk, and generate actionable failure reports for developers. For local businesses that means fewer surprise outages, steadier user experiences, and predictable release cadence so your marketing and operations can stay consistent. At Eagleye Digital we design targeted automation, CI pipelines, and clear test reporting to keep releases stable and teams aligned. ✅ Visit https://eagleye.xyz to start. #QualityAutomation #RegressionTesting #LocalQA #CIForTeams
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Jellyfish
Engineering managers: budget constraints, economic and political uncertainty, and the persistent burden of tech debt are all impacting how you lead your teams - not to mention the perception and usage of AI coding tools. The 2025 State of Engineering Management report uncovers research into all these areas. Tricia Gregg summarizes 3 takeaways from the SEMR: 🧭 Navigating Engineering Well-being and Productivity 🌊 Adapting to Evolving Workforce Dynamics 🤖 Embracing the Transformative Power of AI And she has also included considerations for each to tackle each head on here: https://lnkd.in/gS-QMYRF
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AnitaB.org
Jumping straight into code can cost time and clarity. The Docs or It Didn’t Happen: Writing a Design Document for a Future You session broke down how design docs turn ideas into action, helping teams think, discuss, and document before building. From defining the problem to visualizing solutions, attendees learned how the right structure makes better systems (and engineers). #gracehoppercelebration #ghc25 Thank you Zuzanna Matysiak , Software Engineer Bloomberg .
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Hemant Naidu
Track nothing and you fly blind. Track everything and you risk nudging teams to optimize vanity numbers instead of real customer value. So our Engineering Management crew here at Vendasta headed to the whiteboard and asked: Which numbers would actually help us ship better software, right now? We set two ground rules: * Start small, refine fast. Perfect‑on‑paper metrics that never get implemented are useless. * Coach with data, never grade with it. Dev‑level stats exist to spark healthy habits, not to rank people. Here are just a few of the starter metrics we’re exploring: * Ramp‑up velocity ⏩ - How quickly do new engineers reach full productivity? * Roadmap vs. reactive work 🎯 - Are we spending capacity on strategic goals or fighting fires? * AI adoption & impact 🤖 - Who’s using the AI tools our org is standardizing on, and is it actually moving the productivity needle? * Hiring‑pipeline health 🏃♂️ - Time‑to‑fill, drop‑off rates, and how that aligns with the roadmap. This is just a taste. There are plenty more on the board, and we’ll trim or add as reality teaches us. To turn ideas into something useful Megan Cheesbrough (Engineering Manager), Lyle McRae (our new Senior Data Engineer), and I have started jamming on a proposal: a BigQuery + Dataform backbone with clear data standards so we can plug sources in once and let AI workflows keep everything fresh. Nothing’s built yet, but Lyle’s bringing proven patterns from past wins to shape a framework that fits our needs. Big unlock if we get it right. Our Principles: * Value first, vanity never. * Automate the grunt work; manage the AI. * Tell a story the whole org cares about. We’ve kicked off an MVP and will iterate. Your turn: What’s one metric that genuinely changed how your engineering org works? Drop a thought below. I’m keen to compare notes as we turn this whiteboard into reality.
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Cortex
🧢 Platform engineers aren’t just building tools. They’re building products. At PlatformCon 2025, our CTO and co-founder Ganesh Datta made the case for why platform teams need to think like product managers. His talk covers: ✔️ How to design for adoption, not just availability ✔️ Why golden paths are only valuable if they’re opinionated ✔️ What product management failure modes look like in platform teams ✔️ The metrics that actually show you’re making an impact This is how great platforms get built. Don’t miss it. 🎥 Watch the full session → https://lnkd.in/guE__kYB
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CTO Craft
Scaling isn't just about size - it’s about shifts. We’re deep in conversation at #CTOCraftCon: Toronto with an incredible panel of tech leaders in “From Startups to Scale-ups: Unique Challenges for Tech Leaders.” Moderated by the ever-insightful Neeha Curtis, the panel features voices from Sportlogiq, Databricks, Medium, and CanadaHelps - each with a different lens on how to scale without losing your soul (or your sanity). Key themes emerging: • Culture doesn’t scale by accident - it takes intentional design. • Speed can be a strength - or a trap - if you don’t balance it with structure. • Growth-stage leadership is a constant recalibration of what your team, product, and customers really need. From local traction to global scale, this one’s packed with hard-won wisdom. Mehrsan Javan, Robin Sutara, Shakti Sinha
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QASource
Growing engineering headcount doesn’t guarantee velocity. Teams often scale faster than their workflows. New engineers join. Code volume jumps. But the process for aligning work, reviews, and QA stays the same. The result is predictable. Slowdowns. Duplicate effort. Gaps in coverage. And a team that feels bigger but not faster. Clarity has to scale before headcount does. Aligned workflows, predictable QA checkpoints, and clear ownership keep growth from turning into drag. What’s the hardest part of staying aligned as your team scales? #TeamScaling #QAscaling #QAworkflow
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KOOSAI
Open-source AI is no longer a distant dream—it's here, and it's changing everything. Drupal just launched its AI Initiative, unifying over 290 AI modules to empower organizations with smarter, faster digital content—while keeping control in your hands. This isn't just about technology. It's about freedom from vendor lock-in, responsible AI governance, and a new era of community-led innovation. At Koosai, we believe true innovation happens when ecosystems are open, ideas are shared, and disruption is sensible—not reckless. Drupal's move echoes our core values: collaboration, inclusivity, and a long-term vision for ethical technology. Our book, 'A.I. The Revolution That Will Change Our Lives,' explores how AI can transform industries—if we approach it with both ambition and responsibility. And in 'Chess & A.I. Redefining The Endgame,' we show that the real power of AI lies in partnership—humans and machines working together to achieve more than either could alone. Open-source AI isn't just a technical shift. It's a cultural one. It democratizes access, accelerates innovation, and puts power back where it belongs: with the community. As businesses and leaders, we have a choice. Do we chase short-term gains, or do we build for the future—embracing openness, ethics, and collaboration? The future of digital experiences will be shaped by those who dare to disrupt sensibly and lead with purpose. How do you see open-source AI shaping the future of digital experiences? Let's start the conversation.
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