As a customer-centric full-stack engineer, I've been working with AI product engineering teams for the past few years. I realized that being able to translate eng-speak to wider audiences was helpful, and I became the go-to resource for sales & success. Want to know how our latest model release affects your customer? Ask me. Want to know the potential downsides of launching a new model to production? Ask me. Will our upcoming product be viable for your prospect? Ask me.

I feel like my technical skills like system design have not progressed. I also lack the math background to understand the AI models deeper than input/outputs. And lastly, my full-stack programming skills are great for creating fast MVP's. But I am not perceived as creating high-quality, readable, maintainable code.

I'm seeking to understand how other people navigate the path of picking new skills to learn. Any resources or advice would definitely be appreciated!