Senior full stack dev here with 15 years experience. I’ve worked at companies across the size spectrum, from startups to Fortune 500.
I have experience building and iterating on products at every level, from initial ideas that just need prototyping all the way to scaling and optimizing for millions of requests.
The New York Times has a queryable Slack bot that can tell their editors what topics/stories are likely to be popular. The backend is a machine learning algorithm.
This is essentially a command line script, as you say. But having that functionality and being able to discuss the results amongst your fellow editors is very powerful.
True, you should strive not to develop tunnel vision. But I think you should approach your specific problem and your wider field with independent aims. In other words you should consciously create periods for yourself that alternate between narrow and broad focus.
I have found for myself that I don't truly understand something until I can explain it from multiple viewpoints. This is hard to accomplish when someone does the grunt work for you.
Isn't the entire purpose of PhD to struggle with a topic until you understand it so deeply that you become the world's expert on that tiny piece of academia? Will this lead to lazy uninformed researchers?
This is definitely a problem, but I think it's an easier one to solve than the unknown effects of radiation (assuming some version of Glass has a 3G/4G antenna built in). If holding a cellphone to my ear makes me nervous, what makes you think I'm going to wear Glass around all day?
Senior full stack dev here with 15 years experience. I’ve worked at companies across the size spectrum, from startups to Fortune 500.
I have experience building and iterating on products at every level, from initial ideas that just need prototyping all the way to scaling and optimizing for millions of requests.
------------
I can help you with:
- Writing application code
- Technical strategy
- Interviewing and hiring
- QA
------------
Technologies:
Languages: Python, JavaScript, TypeScript, Scala, HTML, CSS
Frameworks and Tools: Flask, FastAPI, React, Git, Unix CLI
Databases: PostgreSQL, Redis, DynamoDB
Devops: AWS, GCP, Docker, Kubernetes
------------
Portfolio: https://jaydev.tech/ (More work samples available upon request)
Book a free 30 min consultation: https://calendly.com/jaydevm/30min