My 9 to 5 is as Google Developer Experts Lead - Americas. My 5 to 9 is street photography.

Mexico
Joined May 2008
Critical infra and defense cannot export telemetry to public clouds for frontier AI. Google Distributed Cloud announced air-gapped Blackwell Ultra acceleration, local Gemini, and turnkey ISV apps. How do you balance data sovereignty with frontier AI compute?
1
124
Si importar si internet sobrevive o no a la nueva ola de ataques a sitios con PHP, la siguiente semana nos vemos en CDMX - Tech Week Mexico y en Guadalajara - JSConf.
3
11
550
96% of public agencies pilot AI, but only 9% reach production due to compliance siloes. Gemini for government services brings purpose-built agents grounded in statutes under FedRAMP High. Can agency-grounded agents solve civil service backlogs?
1
1
111
¿Cuál será el programa equivalente a FedRAMP para México y otros países en América Latina? 🤔
33
No single model wins at every coding task—architectural planning needs deep reasoning, but daily refactoring needs low latency. Claude Opus 5.5 and Sonnet 5.5 are now live in Google Antigravity IDE & CLI. Which model tier do you use most for daily coding?
4
5
404
Having Opus 5.5 for architectural planning alongside Flash and Sonnet 5.5 for rapid diffs in one IDE under unified enterprise governance is a massive win. ✨ – at Benito Juárez, Distrito Federal
1
1
182
For years, the biggest friction with TPUs wasn't the hardware—it was having to rewrite your entire PyTorch stack into JAX or wrestle with PyTorch/XLA wrappers. Today TorchTPU went open source at PyTorch Conference: native torch.device("tpu") is officially here, co-developed with Meta. – at Benito Juárez, Distrito Federal
1
154
⚡ Native torch.device("tpu") → Debug in eager mode and compile with torch.compile without leaving PyTorch. 🚀 Open serving stack → Drop-in support across vLLM, SGLang, and llm-d for high-throughput inference. 📐 Model Flops Utilization → TorchTitan recipes with SimpleFSDP and Pallas kernels for production MoE scaling. – at Benito Juárez, Distrito Federal
1
1
26
Decoupling model code from hardware lock-in is a massive win for open AI infrastructure. Are you keeping workloads GPU-only, or testing TPUs now that native PyTorch is live? 🔗 Full walkthrough: g.dev/cloud/torchtpu-open-so… – at Benito Juárez, Distrito Federal
18
This is seriously funny: 😂 – at Benito Juárez, Distrito Federal
Gemini 4 Argon built a 3D periodic table synced to Tom Lehrer’s song, “The Elements.” Created in @Antigravity, it animates orbiting electrons, atomic data, and light spectra.
134
Relying on LLM-as-a-judge without auditing the evaluator is compounding noise at scale. In production benchmarks, simple option order swaps flip model verdicts 75% of the time, and verbosity bias masks serious bugs. – at Benito Juárez, Distrito Federal
4
2
208
How is your team calibrating automated AI judges against human ground truth? Three concrete ways to audit model evaluators (adversarial pair swapping, perturbation tests, and Cohen’s kappa consensus): g.dev/ai/audit-llm-evaluator… – at Benito Juárez, Distrito Federal
1
2
32
Text chats aren't enough for complex workflows. MCP Apps (SEP-1865) bring interactive, sandboxed web UIs directly into Gemini Enterprise via Cloud Run microservices: g.dev/ai/mcp-apps-in-gemini
2
128
Take Python out of the edge runtime path. LiteRT's new Tensor API brings native C++ model graph authoring and zero-copy tensor dispatch across CPU, GPU, and NPU: g.dev/ai/litert-tensor-api
72
Dead air kills voice agents. Google ADK + gemini-3.8-live let you build voice agents that never go silent—streaming progress tokens and non-blocking tools with WHEN_IDLE scheduling: g.dev/ai/build-voice-agent-a…
94