I think this position might be a great fit and applied on your website. I noticed that the application only listed Berkeley and Boston, but I'm in Denver. Are you hiring in Denver as well?
Location: United States (Denver)
Remote: Yes
Willing to relocate: No
Technologies: Python (Django, pandas, numpy, sklearn, xgboost), Linux, DevOps(GCP, Kubernetes, Docker, Helm, Terraform), SQL
Résumé/CV: https://drive.google.com/file/d/1Qplz4HQEYyFb0ItKODPN2FleGjHQIrEK/
Email: dltarasi@gmail.com
I’m a Python engineer with API development, data science, and DevOps experience that loves working at the intersection of these fields to turn ideas into production products. I’m currently completing a Masters in Computational Data Analytics at Georgia Tech.
For the last eight months I've been CTO and co-founder at a startup I founded with a few co-workers after the last startup we were all working at shut down due to impacts from COVID. We released an iOS and Android app in September, but I am looking to move back into an employee role where I can focus on solving technical problems rather than running a startup.
Prior to my startup I was the second employee at another startup creating enterprise analytics software. I spent multiple years working in a hybrid backend engineering, data science, and devops role where I developed machine learning models and REST APIs and deployed them on Kubernetes using SQL and noSQL databases on GCP. I was heavily involved in the full implementation cycle from ideation, development, testing, deployment, and maintenance.
I am looking for a full time backend or data science role (ideally a bit of both!) in Denver or Remote. I have been fully remote the last 8 months and discovered I work very well in that environment.
I love this idea! I tried to do something similar for my dad who has lead quite the interesting life and is nearing his 80's. I quickly learned that I'm neither a skilled interviewer or audio editor. The price seems like a steal to have a pro handle all of that.
Hey - Really appreciate the sentiments! Thanks for sharing your experience with your dad - as I mentioned in the post, I had the same experience with my grandfather.
We'd love to have the opportunity to serve you as a customer. We're interviewing parents and grandparents about their life stories everyday. Feel free to reach out directly with any questions at contact@heyartifact.com.
And in case helpful, we typically create a "Life Story" Artifact over three to four interviews (so it's like a mini-series). The outline, which you can of course adjust to your needs, tends to look like this:
Interview #1: Family Heritage & Childhood - Your dad's personal memories of prior generations.
Interview #2: Teenage Years / Young Adulthood / Early Career.
Interview #3: Mature Adulthood / Family Life / Career.
Interview #4: This tends to be a "wild card." Your dad and the interviewer may just have more territory to cover after the first sessions, or your dad may want to return to a certain time in his life or several themes. We can also 100% refund if this interview is not needed (we find that 80% of the time it is desired).
I went through the first phase of the course as an intro to AI/DL and thought it was really great from a high-level perspective. If you have a decent understanding of Python you'll have a working model running on AWS within the first few hours of the course which is very rewarding.
It does a better job than I expected explaining the underlying intuition of the math, but doesn't dive deep into the actual formulas. There are obviously tradeoffs to this approach and if you want to continue in the field you'll need to do something to fill in this background, but as far getting your hands dirty and understanding the basics I really liked the fast.ai approach.
As a beginner I cannot recommend this class in its current form. The first lecture with its setup walk through is outdated and I have trouble understanding how to do a work around.
This is welcomed news, thank you for the update. Can you link to v2? On the site I just see part 1, v1 with the AWS set up. This is the beginner unfriendly/outdated one I am referring to, and I don't see the updated version you're referring to.
I just checked the course forum, and Jeremy asked us not to share on high traffic sites until theyve finished the new website. I think it'll be out within a week or so, so check the fast.ai site for updates. Should be soon!
You might appreciate the Deep Learning for Coders courses from Fast.ai. It's basically ML as a practice subject rather than theory as you suggested.
I felt similar to you when I first started learning ML but their code first approach really helped it click for me on an intuitive level. Then you can go back and dig into the maths behind it.
Agreed. Optimization for process over outcomes seems to be a recurring problem in large organizations. Unfortunately it's not hard to understand why decision maker's prefer this approach given the pressures of shareholders/voters. No one gets fired for following the process.
A similar issue was just discussed yesterday in a thread on Jeff Bezos' letter to shareholders:
"A common example is process as proxy. Good process serves you so you can serve customers. But if you’re not watchful, the process can become the thing. This can happen very easily in large organizations. The process becomes the proxy for the result you want. You stop looking at outcomes and just make sure you’re doing the process right. Gulp."
