Tom, Loved reading this..... It really shows how much impact support and representation can have. Curious to hear from others: what’s one thing your workplace or team does (or could do) to truly support women in engineering?
Women engineers breaking barriers & driving innovation on International Women in Engineering Day
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Tom Smithverified
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Andrew, your question reminded me of something that happened at Boomi World in 2024. The event hosted Women in Tech breakfast that was well attended but didn't have a lot of men. I asked some of my male colleagues if they attended, and they did not because they did not think they were invited. As a man, we need to show up at these events to show we are advocates for women in technology.
If you see a Women in Tech event at a conference or function you are attending, I urge you to show your support by attending.
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LLM Training & Evaluation Specialist with hands-on experience building major AI models. As one of th... Show moreLLM Training & Evaluation Specialist with hands-on experience building major AI models. As one of the original six members of Google's Bard training team (now Gemini) and current Meta AI Business Assistant evaluator, I understand how these models work from the inside out—and how developers can optimize them for production applications.
I specialize in LLM evaluation, prompt engineering, and RLHF (Reinforcement Learning from Human Feedback) methodologies. My focus is helping developers integrate LLMs into production systems: model fine-tuning strategies, prompt optimization, agentic workflows, AI-powered DevOps, and building reliable AI applications that actually work.
Having trained the core Google Bard model and interviewed 4,000+ technology executives across AI/ML infrastructure, I write about real-world LLM implementation challenges—not theoretical possibilities. I attend major tech conferences to understand what developers actually face when deploying AI in production environments. Show less
I specialize in LLM evaluation, prompt engineering, and RLHF (Reinforcement Learning from Human Feedback) methodologies. My focus is helping developers integrate LLMs into production systems: model fine-tuning strategies, prompt optimization, agentic workflows, AI-powered DevOps, and building reliable AI applications that actually work.
Having trained the core Google Bard model and interviewed 4,000+ technology executives across AI/ML infrastructure, I write about real-world LLM implementation challenges—not theoretical possibilities. I attend major tech conferences to understand what developers actually face when deploying AI in production environments. Show less
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