Happy northern hemisphere Spring, dearest HN reader! My name is Ryan Tuck, and I think you might like to hire me.
Location: NYC hybrid or remote
Technologies: AWS, Python (EC2, Fargate, Lambda, Localdev), SQL (Postgres, dbt, Redshift, BigQuery), docker, unix, make, vim, Arduino, Ruby, TypeScript, LLMs
Resume (PDF): https://ryantuck.io/resume.pdf
GitHub: https://github.com/ryantuck
StackOverflow: https://stackoverflow.com/users/1700270/ryantuck
Email: ryan at ryantuck.io
Dream job is alignment research at Anthropic, where I've already applied. Otherwise looking for exciting full-time work ideally within the following domains: AI Safety, Computational Science, Crypto, Research, Dev Tooling.
Currently doing very cool full-time contract work porting research simulation workflows from PhD laptops to the cloud, which I'd keep doing but need benefits!
Focusing on senior / principal / management full-time roles. 10+ years tech startup experience at varying stages of growth, high-agency generalist, enjoy leadership, remote since 2017, have maintained LLM workloads, familiar and comfortable with LLM-assisted coding. Most of my career has been working in data-intensive settings, backend application development, and handling devops on AWS infrastructure. Started my professional career at Warby Parker, and before that I taught myself to code trying to start a company building LED wearables for raves out of college. Physics and philosophy degrees, interested in everything, especially governance and complexity reduction in technical systems.
More very cool stuff over at my website: https://ryantuck.io
$ curl -L ryantuck.io/resume.json | jq '.buzzwords'
{
"Wisdom": "Complexity is the velocity killer. Premature optimization is the root of all evil. Code is meant to be read by humans and only incidentally executed by machines. Don't be smart, just restart. Stop duplicating state, network is fast in the cloud.",
"LLMs": "Up-to-date with the latest developments, hallucinations are a headache to work with, read Bostrom in 2015, Yudkowsky is generally correct",
"Python": "You probably actually want to use setup.py but are using requirements.txt because you read to do that online when you set up your deployment two years ago and don't understand why you're seeing dependency issues with pip. Also, pandas is overkill.",
"SQL": "Not every problem calls for a relational database, CTEs help readability, Postgres is a fine choice, UPDATEs are an antipattern for large workloads, online alembic migrations are painful at times",
"AWS": "Good default cloud, IaC is the ideal, battle scars from RDS, DynamoDB, S3, Lambda, EC2, Fargate, IAM, API Gateway, etc etc etc, GCP is the same thing with a prettier interface",
"Localdev": "vim, make, jq, xargs, unix pipes is a fine toolkit",
"Docker": "Containers are virtuous if you can get Docker installed on your machine correctly, k8s is probably overkill",
"BI": "BigQuery, dbt, Looker is a sweet stack, dimensional modeling and Kimball are probably overkill, spreadsheets are the lingua franca of data, pivot tables are cool",
"Hardware": "I went from dabbling with Arduino and Raspberry Pi to raising thousands of dollars on Kickstarter for a hardware product I built from scratch, unleaded solder is harder to work with"
}
Peace :)
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