Opinion on Edge AI model optimization and onboarding engineer role

<!-- SC_OFF --><div class="md"><p>I did my B.Tech in AI/ML where I learned core machine learning concepts like model training, evaluation, etc., and also completed an ML

<!-- SC_OFF --><div class="md"><p>I work at Microsoft CoreAI as an engineer, and have offers from three equally competitive PhD programs starting Fall 2026 and the Claude Code

<!-- SC_OFF --><div class="md"><p>Agents are amazing. Harnesses are cool. But the fundamental role of a data scientist is not to use a generalist model in an existing workflow;

<!-- SC_OFF --><div class="md"><p>If you've ever wished there was a plug-and-play device that ran local models in your home without any cloud dependency, that's what I'm

<!-- SC_OFF --><div class="md"><p>Hi everyone,</p> <p>I'm a Computer Engineering student working on my final degree project (TFG), and I have around 300 hours to complete it.</p>

<!-- SC_OFF --><div class="md"><p>Hi everyone,</p> <p>I’m currently working on a project to build a <strong>100% local AI chatbot</strong> for a government-related use case

<!-- SC_OFF --><div class="md"><p>Posting because this sub is where the policy conversation should be happening and it isn't. </p> <p>I'm the COO of a mid-Atlantic insurance

<!-- SC_OFF --><div class="md"><p>After burning way too much money on GPT-4 API calls, I finally went all-in on local models with Ollama. The progress in 2026 is insane