• 4 Posts
  • 19 Comments
Joined 2 years ago
cake
Cake day: August 6th, 2023

help-circle


  • Hey, I was fired last July and I went through the same process, I actually asked a similar question on Lemmy and the feedback I received helped a tonne in landing more interviews.

    Here are the steps I believe helped me:

    1. Make sure your CV is machine parseable, search for open resume, upload your cv see what it detects. Ideally, generate your CV using that tool.
    2. Create your own portfolio website, here is mine for reference https://souperk.gr/ (I have a public repository, feel free to copy if CSS isn’t your strong suite)
    3. Check that toggle on LinkedIn to signify you are actively searching atm (don’t remember how, but you should see a ribbon on your avater if it’s active)

    For me, landing more interviews was the hard part. Once I got a few interviews going, landing an offer was easy.


  • souperk@reddthat.comtoFediverse@lemmy.worldFirst draft woes
    link
    fedilink
    English
    arrow-up
    8
    ·
    2 months ago

    So you are basically building a classifier that tries to assert if a user will like a video. While many are against any kind of “algorithm” within the fediverse, I believe that it’s a necessity. But, I think allowing users to tag content and then building classifiers that allow you to filter based on that would be a more aligned with the fediverse.

    Anyway, cosine similarity has worked for a lot of things, so I think it’s a solid foundation to get you started. Another thing you can try is using an embedding model, specifically a model that receives a segment of a video and yields a matrix with the property that similar input will result in outputs relatively close to each other (cosine or euclidean distance).

    Another thing to consider is building a platform that will permanently store data. If you can come up with a set of endpoints, I can implement something in python to get ypu started. I don’t have experience with video processing so I cannot help you with that, but the crud aspect is no biggie.








  • What an interesting read! The food analogy instantly made sense to me, I am wondering if other people had the same experience?

    What is the point of all this, you may wonder? Well, reading Postman provided a big eureka moment for me - an understanding of why I struggle so much to convince my friends to abandon commercial social media in favor of the Fediverse. Drum roll: the Fediverse may be missing a clear, cohesive narrative.

    Technically the Fediverse has everything one would need to enjoy independent social media, away from the surveillance capitalism that powers Big Tech. What has been difficult is finding a story, a simple narrative anyone could follow that would explain WHY the Fediverse is the most empowering, most ethical technological solution out there for social media.

    I have come to see the Fediverse as the equivalent of organic, plant based, home-cooked meals and by contrast I see TikTok, Instagram, X, Threads, Snap and other platforms by Big Tech as the equivalent of Big Food – brands like Coca Cola, McDonalds, Nestlé, that promote ultra-processed, highly addictive foods and beverages, contributing to an epidemic of obesity, type 2 diabetes and other diet-related diseases.



  • I know you are asking for something different, but since there are already a few good answers, allow me to instead to reject the premise and give you a different.

    It’s not impossible to implement an AI solution within the context your provided. The problem is that it’s going to be expensive. However, you can offer to deliver something smaller, focus on the smallest but valuable contribution you can make. While cleaning up the data is still going to be a hell of task, if the scope is small enough it can be achievable. Then, you can communicate the difficulty to scale due to data issues which can help management undestand the importance of prioritizing data quality.

    If you have a bunch of sales data, maybe you can focus on deriving purchase patterns and build a simple recommendations engine. If you want to focus on marketing, you could try lead classification. Ideas depend on the domain of the company you work for.





  • I would give myself a solid 4.2/5 on python.

    • I have in deepth knowledge of more than a few popular libraries including flask, django, marshmallow, typer, sqlalchemy, pandas, numpy, and many more.
    • I have authored a few libraries.
    • I have been keeping up with PEPs, and sometimes offered my feedback.
    • I have knowledge of the internals of development tooling, including mypy, pylint, black, and a pycharm plugin I have created.

    I wouldn’t give myself a 5/5 since I would consider that an attainable level of expertise, with maybe a few expections around the globe. IMO the fun part of being really good at something is that you understand there still is to learn ❤️


  • I’ve had a very tough time finding my first position as a junior dev

    The hiring landscape for software engineers/developers is a mess for the past year or so. You shouldn’t internalize the experience, most likely you are just unlucky.

    A few things to consider for finding a job:

    1. Utilize your connections, a lot of hiring still happens through connections. If you have attended a university/college/bootcamp reach out to your professors and check if they can refer you to any positions.
    2. Make sure your CV can be parsed by tools. Try uploading your CV on open resume, if it’s not parsed correctly you might want to update it.
    3. Create a portfolii website, it’s a great way to illustrate your skills. Also, others here can check it out and offer advice.
    4. Update your LinkedIn profile, make sure to check that open for recruiters thingy.

    If you want to learn more about react I am happy to have a chat with you (no fee), feel free to DM me.