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Choosing a venue for your work.
  • Dr. Ingrid Falk-Weller
  • July 5, 2026
  • (0)
  • Research Practice

Fit Matters More Than Prestige for a First Paper

I spent three years in academia convinced that my productivity was a function of my cognitive willpower, a belief that crumbled the moment I tried to implement a complex distributed system algorithm in a noisy university cafeteria. I thought I…

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Implementing continuous delivery practices for frequent deployments.
  • Dr. Ingrid Falk-Weller
  • July 5, 2026
  • (0)
  • Software Engineering

Deploying Often Makes Each Deploy Boring

I remember sitting in a windowless server room during my first industry role, watching a “state-of-the-art” deployment pipeline crumble because someone had prioritized tool complexity over basic system stability. Everyone was obsessed with the latest shiny orchestration layer, but they…

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Count min sketch basics for big data.
  • Dr. Ingrid Falk-Weller
  • July 4, 2026
  • (0)
  • Algorithms

Counting a Billion Items in a Kilobyte

I remember sitting in a windowless server room three years ago, watching a production cluster choke on its own telemetry because we were trying to maintain exact frequency counts for millions of unique keys in a distributed hash map. It…

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Evaluation metrics for classification beyond accuracy.
  • Dr. Ingrid Falk-Weller
  • June 30, 2026
  • (0)
  • Machine Learning

Accuracy Is Useless When One Class Is Rare

I remember sitting in a windowless lab during my second year of PhD work, staring at a confusion matrix that looked perfect on paper but felt fundamentally broken in practice. I had built a model that claimed 99% accuracy, yet…

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Understanding tail latency and percentiles in requests.
  • Dr. Ingrid Falk-Weller
  • June 29, 2026
  • (0)
  • Systems

The Average Request Is Not the Request That Loses Customers

I remember sitting in a windowless operations room three years ago, watching a dashboard that insisted our system was “healthy” because the average response time was a beautiful, steady 20ms. But the users were screaming. They weren’t experiencing the average;…

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Bloom filters explained: a probabilistic filter.
  • Dr. Ingrid Falk-Weller
  • June 28, 2026
  • (0)
  • Algorithms

A Filter That Is Sometimes Wrong on Purpose

I spent three weeks of my life in a windowless server room during my first industry role, trying to debug a latency spike that felt like a ghost in the machine. We were throwing massive amounts of RAM at the…

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Continuous integration basics: fixing broken builds.
  • Dr. Ingrid Falk-Weller
  • June 27, 2026
  • (0)
  • Software Engineering

A Broken Build Is Everyone’s Problem Immediately

I remember sitting in a windowless server room during my first industry research role, staring at a terminal while a “successful” build deployment slowly tore a distributed database apart. Everyone around me was celebrating the sheer speed of our pipeline,…

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Handling rejection productively through useful reviews.
  • Dr. Ingrid Falk-Weller
  • June 25, 2026
  • (0)
  • Research Practice

A Rejection With Useful Reviews Is Worth More Than a Weak Acceptance

I still remember the exact, metallic clack of my old Curta calculator jamming during a precision test, a physical manifestation of a logic error I had spent weeks ignoring. That frustration—the sinking feeling that your entire internal model is fundamentally…

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t-SNE and UMAP for visualisation plot analysis
  • Dr. Ingrid Falk-Weller
  • June 25, 2026
  • (0)
  • Machine Learning

Distances in the Plot Do Not Mean What You Think

I remember sitting in a windowless lab three years ago, staring at a scatter plot that looked more like a Jackson Pollock painting than a meaningful dataset. I had spent forty-eight hours tuning hyperparameters, only to realize I was looking…

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Graph showing latency versus throughput trade-offs.
  • Dr. Ingrid Falk-Weller
  • June 23, 2026
  • (0)
  • Systems

Optimising One Usually Costs the Other

I remember sitting in a windowless server room during my first industry research stint, staring at a dashboard that claimed we were hitting record-breaking numbers. On paper, our system was a triumph; the throughput was astronomical. But the users were…

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