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Callum Whyte

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titleconferencedate
MCP with .NET: securely exposing your data to LLMsNDC Copenhagen 20252025-09-08
Builds a working MCP server in C# using the MCP .NET SDK and reuses existing logic via Semantic Kernel filters, registers tools like get-speaker and…
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Leading successful remote teamsNDC Copenhagen 20252025-09-08
Practical playbook for distributed engineering: clear policies (remote only, minimum enforced leave + 7 weeks recommended after unlimited leave backfired)…
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Leading successful remote teamsNDC Oslo 20252025-05-19
Four pillars guide the approach: open source first, high technical quality, true remote flexibility and minimal ceremony; tooling is Google Workspace, GitHub…
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Writing (in)efficient C#NDC Porto 20242024-10-14
Shows concrete inefficiencies and fixes: repeated enumeration and lazy IEnumerables cause multiple full iterations (demo reduces ~10–12 enumerations to one)…
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Build your own CoPilotCPH DevFest 20242024-08-26
Shows how to build a custom CoPilot using Azure OpenAI Service and Semantic Kernel with .NET, wired into an Umbraco CMS plugin architecture. Demonstrates…
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Clone yourself with Azure Custom Neural VoiceNDC Sydney 20242024-02-12
Azure Custom Neural Voice lets you fine tune Microsoft’s neural TTS with either 20–50 utterances (light, ~1.5 hours total to record + train) or a pro workflow…
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Clone yourself with Azure Custom Neural VoiceNDC Oslo 20232023-05-22
Shows how to build a usable voice clone with Azure Custom Neural Voice by recording 20–50 utterances (or up to ~2 hours for higher quality), training a light…
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Clone yourself with Azure Custom Neural VoiceNDC London 20232023-01-23
Shows how to use Azure Custom Neural Voice to build a usable voice clone: the free 20–50 utterances “light” flow records in-browser (about 15 minutes) and…
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From Monolithic Monster to Majestic Microservice AppDevConf 20192019-09-25
A messy .NET monolith that fails to build and required three weeks of merging becomes a set of incremental services: authentication (IdentityServer + JWT)…
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Securing the web with AINDC Oslo 20192019-06-17
Demos use real tools and numbers: anomaly detection costs about $0.15 per 1,000 checks, 800 million people faced malware in 2018 and nearly half a billion…
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