Tess Ferrandez-Norlander
where else to find them
what they talk about
all 15 in the filters
where they keep going back
- NDC London7 editions2017–2025
- NDC Oslo6 editions2017–2024
- JetBrains .NET Days Online2 editions2020–2021
all 7 in the filters
on a stage with
- Andrey Dyatlovonce
- Bryan Hoganonce
- Irina Scurtuonce
all 10 in the filters
who talks about the same things
- Vincent D Warmerdam22 talks
- Katharine Jarmul25 talks
- Jodie Burchell18 talks
- Irina Vidal Migallón7 talks
- Joshua Arvin Lat20 talks
- Milecia McGregor26 talks
| title | conference | date |
|---|---|---|
| Better Code Reviews FTW! | NDC Copenhagen 2025 | 2025-09-08 |
Gives ten concrete tactics that change code reviews from painful to useful: make PRs small and include a short context and test logs, automate boring bits with… | ||
| We are the Guardians of our Future | NDC London 2025 | 2025-01-27 |
Shows concrete failures and fixes: a model claims 90% accuracy at detecting criminals using logistic regression/KNN and a biased CalGang ground truth that even… | ||
| LLMs gone wild | CPH DevFest 2024 | 2024-08-26 |
Shows why retrieval augmented generation (RAG) often fails in production: embedding mismatch, bad chunking, messy PDFs and images, stale vector indexes, and… | ||
| LLMs gone wild | NDC Oslo 2024 | 2024-06-10 |
Shows how retrieval augmented generation is built end-to-end: chunking Markdown docs, creating embeddings with OpenAI, storing them in Asher AI Search, and… | ||
| Better Code Reviews FTW! | NDC London 2024 | 2024-01-29 |
Argues that code reviews are for sharing patterns, building shared ownership and faster solutions, not for scorekeeping; presents 10 concrete practices: ask… | ||
| Fun with Algorithms | NDC London 2023 | 2023-01-23 |
Covers concrete algorithms and when to use them: binary search (1–100 → 7 tries, 1M → ~20, 1T → ~29) and using Python’s bisect for non‑manual divides; graph… | ||
| Fun with Algorithms | NDC Oslo 2022 | 2022-09-26 |
Shows that binary search cuts a million-item search to ~20 steps and a 10 million search to 29, and applies it to a banana problem with up to 10,000 piles and… | ||
| Debugging .NET Apps | NDC Oslo 2021 | 2021-11-29 |
Demo-heavy troubleshooting that locates who holds memory and why it is not reclaimed, using concrete commands and artifacts: dotnet-counters to spot growing GC… | ||
| .NET Days Online. Day 1 | JetBrains .NET Days Online 2021 | 2021-05-11 |
Seven demos show what actually changes your stack: a custom Source Generators tool that replaces thousands of boilerplate lines (and can emit generated files… | ||
| CSI .NET – Debugging .NET Applications | JetBrains .NET Days Online 2021 | 2021-05-11 |
Simulated leaks show 20,000 Product objects holding ~400 MB in char arrays; investigation uses dotnet-counters, dotnet-gcdump and dotnet-dump to create heap… | ||
| From C# to Python – 10 Things I Learned Along the Way | JetBrains .NET Days Online 2020 | 2020-05-13 |
Ten concrete practices: use PyCharm or VS Code with the Python extension, enforce style with black + flake8 and run them via pre-commit, test with pytest… | ||
| We are the Guardians of our Future | NDC London 2020 | 2020-01-27 |
Researchers train a model on the California gang database that includes babies and 25% false entries and it still flags people as gang members; another paper… | ||
| We are the guardians of our future | NDC Oslo 2019 | 2019-06-17 |
A paper trains a model on the California gang database that feeds text and a biased roster and finds many false positives — about 25% of listed people lack… | ||
| A practical guide to deep learning | NDC Oslo 2019 | 2019-06-17 |
Walks through building real systems: uses Keras with convolutional layers and VGG embeddings per frame to classify five‑second soccer clips, combines audio… | ||
| Panel discussion on the future of .NET | NDC London 2019 | 2019-01-30 |
Covers concrete moves in the .NET ecosystem: WPF and WinForms on .NET Core 3 enabling desktop apps to use new runtime features, a cited 2.4 million active… | ||
| A practical guide to deep learning | NDC London 2019 | 2019-01-30 |
A practical pipeline builds a Chihuahua vs muffin classifier from web images using Keras: roughly 500 images per class, train/validation/test splits, on-batch… | ||
| A developers guide to Machine Learning | NDC Oslo 2018 | 2018-06-11 |
Begins with practical steps: frame a sharp question, gather and clean data, transform features, pick algorithms, train and test, deploy. Demonstrates with… | ||
| A developers guide to Machine Learning | NDC London 2018 | 2018-01-15 |
Begins as a practical beginner’s guide: gathers real Swedish house listings, makes scatterplots, fits linear regression and then decision-forest ensembles, and… | ||
| Beyond step-by step debugging in Visual Studio | NDC Oslo 2017 | 2017-06-14 |
Shows how to diagnose crashes, hangs, high CPU and leaks using real commands and examples: capture dumps with Task Manager, procdump or DebugDiag, inspect… | ||
| Deep .NET Debugging | NDC London 2017 | 2017-01-16 |
Memory-dump debugging solves crashes, hangs, leaks and perf blips by showing the actual failing exception, roots and heap growth. Reproduced examples: an… | ||
| A developers guide to the UX Galaxy | Øredev 2016 | 2016-11-07 |
Presents Microsoft Research’s concrete checklist called tenets and traps, distilled from roughly a century of UI research, and shows it predicting and catching… | ||
| A developers guide to the UX galaxy | NDC Sydney 2016 | 2016-08-01 |
A practical method called tenets and traps surfaces nine concrete attributes of good UX and the common failures that break them, packaged as a deck of cards… | ||
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