aryzach

Electrical / Power Systems Engineer - Build a battery-integrated sauna heater

Paid contract role, $80 - 150/hr, 15–25 hr initial scope

This is a multi-kW DC system problem (battery pack, resistive heater, contactor, safety logic). The constraint is reaching sauna temps without relying on a 240V wall connection.

We currently generate ~$5k MRR renting saunas in the SF Bay (sfsaunarental.com). We've validated pain-point and demand.

If there’s mutual interest and the prototype goes well, this could extend into deeper collaboration or a more dedicated role.

To apply, email zach (at) sf-sauna (dot) com and include:

A short description of the EE project you're most proud of building from scratch A link (GitHub, project photos, writeup, resume, etc)

Visit sf-sauna.com for more info about the problem space.

Remote: Yes

Relocate: No

Tech: Python (Django, Flask), JS/TS (React, Node), Haskell

Looking for contract work 1-2 days / week as I work on my own thing.

Comfortable with small startups.

[email protected]

Here I present an experimental idea, development and commercialization plan, technical implementation, and risk assessment for a device modification to obfuscate the RF fingerprint: Obscuring RF Noise to Combat RF Fingerprinting Surveillance by Adversaries

The main idea is to introduce a hardware / thermal random noise generator after digital-to-analog conversion to hide hardware-induced RF identifiers.

To move this project forward, I'm looking for a technical co-founder with a background in electrical engineering. All experience levels welcome, including capable EE undergrads. If you know anybody who might be interested, please have them reach out!

Location: San Francisco

Remote: Hybrid or remote

Willing to relocate: No

Carl: A skilled manager and engineer with experience as a founder, a consultant, and a full-time employee. I've created and sold two companies. I’ve worked for startups, midsize, and large organizations in a diverse set of domains including blockchain, military communications, agriculture, manufacturing, healthcare, gaming, billing, work management, DevOps, and web services.

Technologies: JavaScript, Python, Typescript, PureScript, Haskell, Express, Flask, Redis, SQL, AWS. Cloudflare Workers, Vue, distributed systems, web services, networking.

https://www.linkedin.com/in/carl-haken-98634147 https://github.com/aranchelk

Email: carlhaken [at] gmail.com

Zach: 6 years of experience as software engineer and product manager across robotics, space, defense, agriculture, and web dev. I've been project lead on all technical projects and have 4 YOE at small startups (<5 engineers)

Technologies: Typescript, Python, React, Javascript, Haskell, Django, Express, Linux, Docker, Git, Ansible, AWS, serverless architecture, DynamoDB, NoSQL

LinkedIn: https://www.linkedin.com/in/aryzach/

Email: zach_asmith [at] yahoo.com

Remote: Hybrid or remote

Willing to relocate: No

Technologies: Python, Javascript, Haskell, React, Django, Express, REST, Linux, Docker, Git, Ansible, Azure, AWS, AWS Lambdas, EC2, DynamoDB, NoSQL

LinkedIn: https://www.linkedin.com/in/aryzach/

Email: zach_asmith [at] yahoo.com

6 years of experience as software engineer and product manager across robotics, space, defense, agriculture, and web dev. I've been project lead on all technical projects and have 4 YOE as small startups (< 3 engineers)

Resume available upon request

Remote: Yes / hybrid

Willing to relocate: No

Résumé/CV: aryzach.github.io/Resume.pdf

Email: [email protected]

5 years of development experience (robotics, communications, web)

Technologies:

- Frameworks & Libraries (Flask)

- Frontend (JavaScript, TypeScript, Purescript, HTML, CSS)

- Backend (Python, Haskell, PostgreSQL)

- Cloud (AWS, Azure)

- Other Technologies (Docker, Ansible, Linux, Git/GitHub, Jenkins, Firebase, Redis)

https://www.linkedin.com/in/aryzach/

I'd love to apply, email me at [email protected]

Remote: Flex or remote preferred (ideally office in SF where I can go as I'd like)

Willing to relocate: No

Technologies: Python, Haskell, Purescript, Javascript -- Linux, Docker, Git, Ansible, Azure

Résumé/CV: https://aryzach.github.io/Resume.pdf

Email: zach_asmith [at] yahoo.com

Strengths: have been project lead on all technical projects in my ~3 year career at two small, pre-seed startups (< 3 engineers), which I've enjoyed taking ownership and delivering

Weaknesses: minimal experience on a bigger team under a senior dev and working on production projects

Qualities I'm looking for (doesn't need to meet all):

- curious, ambitious team members

- aligned with mission

- somewhat flexible work schedule

- high trust on team

- $240k+ total comp (currently $200k)

It's kinda like if you want to build a rocket to get to space, you can tinker with propellant, metal, and fire, and be a hobbyist that eventually you build a rocket to go to space. Or you can be a physicist and calculate everything on paper. To get to space you really need both those people, but the physicist can learn to build and the engineer can learn theory.

For hobbies/projects where the goal is just to unwind and enjoy myself, sure, I still do this. But that's often still not satisfying to me. I started making the intention to just complete the damn thing, even when it wasn't fun anymore. Motivation is hardly worth anything tbh. I used to only work with motivation, and while it felt good at the time, nothing ever got completed and I probably felt how you do a lot of the time.

Second, learning is hard. If you think you're comfortable with a new language, framework, whatever.. but you lose steam when working on whatever your building with it, you might not know it as good as you think you do. It's a lot easier to keep steam when there aren't roadblocks, but when you continually come across roadblocks, it just doesn't feel like your moving towards your goal with much speed. But this is generally where the learning takes place.

And I've also seen, finishing one project to completion makes it a lot easier to finish the next project to completion. It's a skill you have to learn (to do a personal project even when it's not fun, and there's nobody telling you you have to do it)

tl;dr: for enjoyment and relaxation, don't finish projects if you don't want. For learning / creating, make it the goal to finish and know that it'll probably be not fun sometimes

How I've learned everything: https://aryzach.github.io/ClassAndBookReviews.html

Location: Austin, TX

Remote: Willing to work remote or in office

Willing to relocate: Yes

Technologies: Python, Haskell, Git, Linux, Racket (Lisp dialect), Ruby, Agda (theorem prover), Rails, C

Résumé/CV: https://aryzach.github.io/Resume.pdf

Email: [email protected]

  Location: Austin, TX
  Remote: Willing to work remote or in office
  Willing to relocate: Yes
  Technologies: python, git, haskell, linux, java, racket (lisp dialect), ruby, agda (theorem prover), rails, C 
  Résumé/CV: https://aryzach.github.io/Resume.pdf
  Email: [email protected]

Here is my github: https://github.com/aryzach

While I don't have formal software development work experience, I'm confident in my abilities, and confident I'll can pick up technologies quickly. I'm excited to be part of a development team where I can contribute and develop myself as an engineer.

This is Part B, but there's also parts A and C. While I recommend the whole course, you don't need to take it all if you just want the interpreter project.

The networking course was discontinued, but these are the videos: https://www.youtube.com/playlist?list=PLEAYkSg4uSQ2dr0XO_Nwa...

The videos aren't terrible, but the homework was worthless.

Good example: write an interpreter for the given (made up and simple) programming language. We had to figure out how to implement certain language features such as clojures.

Bad example: in networking course, we had to recall details about certain protocols, and do calculations. While this might be useful to know how to do in practice, it didn't contribute anything to my understanding, and it just always felt like tedious busy work, and lacked projects that contributed to the course goals.

I don't know data science, but here's a project I've heard of: Somebody's hobby was disc golf. Discs come with ratings on them (I'm assuming things like curve and distance). They created a controlled experiment to take various data points from many discs, and compare them to their stated ratings, and apply a bunch of data science-y things to the data.

Edit: I'd add some type of reference resources like a wiki, and ideally some auto-grader that gives feedback if possible (like what tests failed)