Side Projects Q&A and Videos

TL;DR Contribute to Open Source ML or do side projects for ML. Which do you suggest is the better option?

I just started a new job, but due to circumstances (visa, tough market), I had to take the first job I could take and I ended up in a devops/production support role where I cant really write much code or write any production code (literally dont have access to dev code). I dont plan to stay here long (>6 months).

I read the infamous "" post and wanted to do side projects so that I am not rusty

Context on me: 80% of my background is in Applied ML/Data Science and 20% is software engineering. I am interested in pursuing as an ML Engineer/Data Scientist

Open Source

Pros

• Tons of open source ML stuff supported by big tech companies
  • Meta has a ton of OS projects
• Huggingface is open source
  • Lot of companies use ML models from huggingface (for e.g. BERT for NLP). Would contributing to this on huggingface be seen as impressive?
• Exposure to working on large codebases, good software engineering practice as well

Cons

• Minimal Impact
• Hard to showcase my achievements, especially on LinkedIn

Projects

Pros

• Ability to make and measure impact
• easy to showcase
• learn a lot

Cons

• For ML, projects with impact is hard to do. Most ML applications is based on improving current products using existing data
• Experience from building ML projects might not translate to what I would do on the job as a lot of it involves working with Engineering around data
• It takes time and a lot of effort to have a ton of downloads
• Can end up taking a lot of non-ML work work (web design/frontend) which is not relevant to MLE

Final question: If I were to do open source, what is the best way to showcase on LinkedIn?

• Do you suggest adding the company you did OS for under the experience section and saying "Open Source Contributor"? My concern with this is that it may sound scammy/shady

I've been in the IT industry for 3 years, working on various projects. For the past 1.5 years, I've been heavily involved in Python projects, mainly as a back-end developer using Django. My tasks typically revolved around building or updating APIs as per specific requirements.

Most of these projects were already underway when I joined, so I mostly inherited tasks based on existing project needs. As a result, I wasn't part of the initial database design or project structuring.

Now, I'm starting on my personal project using Django. However, I lack experience in structuring and designing a project from scratch, especially in organizing apps and defining models.

I took a look at other frameworks like Spring Boot and noticed they don't offer the same level of "batteries included" features as Django.

I'm currently dealing with two main challenges:

1. Impact of Learning Django First: I'm concerned that focusing solely on Django might limit my overall understanding of back-end development. Django's comprehensive built-in features might not be present in other frameworks, and that worries me.
2. Project Design and Structure: I'm puzzled about the best practices for structuring and designing a Django project, especially regarding app organization and model structuring.

I'm seeking advice on overcoming these issues and figuring out how to structure my project effectively. I'm also contemplating whether sticking with Django could potentially narrow my overall grasp of back-end development because of its extensive in-built functionalities.

Also, I applied to some companies and most of them are asking for experience in Java back-end development.

Hi Taro Community!

I am in a very similar position as mentioned by someone here: and from the responses it is evident that switching teams/companies will be an unavoidable step soon. I am currently at an entry-level position (will be completing 6 months at current company soon) and wish to look for roles at the next level of hierarchy (for instance my current role is equivalent to SDE 1, I wish to look for roles similar to SDE 2 or equivalent next). Few points:

• I am planning to complete 1 year at my current company, so by the time I switch I shall have ~1 yr of experience as an entry-level software engineer (apart from other experiences as internships/side projects/etc.)
• Firstly, is it realistic to prepare for mid-level at the current position? Do companies hire entry-level SWE's with at most 1 yr of experience for mid-level?
• If yes, is it advisable to apply now (or 6 months down the line)? I do not wish to work as an SDE-1 (entry-level) in another company by leaving my current one as it will only lead to further delays in promotions (I believe it takes at least a few months to set a good impression in a new team that you are capable for a promotion)
• How can I best utilize the next 6 months before I aggressively start applying to companies? I understood the point related to side projects - is it advisable to build side projects in the tech stack my team is using, or should I expand my scope to include new technologies I am interested (but not actively working on right now)?

Any insights/suggestions/interview tips will be really appreciated. I have very less workload right now and really want to make the best use of time to switch further.

Thank you!

Hi, I was creating a website for a local business this fall and was going to ask would you guys recommend using an online template that's already made or should I actually try to code in the template using CSS?  I know that using a template can be easier such as by using squarespace but am unsure of how that will come off on my resume.

Hi all,

With Google Play’s new policy requiring testing by at least 20 people for two weeks before launching an app, many of us will face a new challenge, particularly for those publishing projects for our resumes. What strategies are there for approaching this requirement, and where can we even find 20 willing testers?

Hi all. I got laid off in April from Amazon. I have been looking for a job since then but I am a junior engineer and I haven't been able to get an offer. Someone at Taro suggested that I fill the gap by claiming that I was working on my own startup. This could get me to the mid-level bar.

I thought about doing some personal projects and claiming that I was trying to monetize them but failed. I am concerned that recruiters and hiring managers are going to see right through that though. Side projects are ideally done on the side of my full-time job.

What are some ways that I can fill the employment gap and get to the mid-level before I secure a full time job?

As I watch , I see the slide where it mentioned MVP and just 1 Thing. And also, in the slide, the example of the app is . I have couple questions about this.

1. To come up with the idea of Just 1 Thing application, I believe most of the ideas are already executed before. Is that something I do have to afraid of or not? When I search on app store now, I see similar apps to Random Name Picker. And I'm afraid for how we grow the number of users as most of users choose to use something existing with top rated.
2. If we take number 1 question as a factor (most of users choose to use something existing), how to come up with the idea about something that someone has not executed before?

I want to build on side projects by myself but to come up with something specific with quality. I'm thinking about to do system design doc (define specific requirement, breaking the big task to small task (make it granular, etc)). Try to make a plan before make any execution.

Please let me know if this plan works for me or not. I want to execute on how I can serve something to users that we all think it's useful.

Recently, Rahul has in terms of their ability to deliver business outcomes quickly and with minimal learning. They do look cool!

As a data engineer with some backend experience and no frontend experience, when I think about making a web-app side-project, what should I do first: use a no-code platform to build it, or learn the basics of HTML, CSS, and Javascript (along with a framework like React)? Should my default be to use a low/no code tool?

More broadly, how should I integrate these into side-projects and my work in general?

Thanks!

Git/version control is an important skill for people in tech. What are some ways to get good at it? It's often easy to do things in a hacky way when there is a git command that does exactly what you want to do that will save you a lot of time in the long run. Also, understanding the fundamentals of how Git works can go a long way.

What are some good tips? Other than , of course :)

I've heard 1-1.5x your full-time rate is valid. I know this will likely be context driven, I'm specifically looking for longer-term hourly rates as opposed to short-term / project-based, but would be interested in knowing the differences if there are any.

Thanks in advance folks!

So, some context:

I work as a devops manager (amongst some others, each of us managing a specific workstream). I have not really been that busy due to commercial reasons and thus not learnt much.

I enjoy coding and devops a lot (I was a coder before devops so can code too), and in the mean time, I was approached to work on an app with a friend, which I started. Commercially, that does not seem to be going anywhere due to the proposed high running costs in the cloud (despite automation and taking steps to reduce cost, but the scale and ambition of that app will not come cheap). Anyway, the business domain and requirements I got from said friend make it an interesting project and business problem to solve, with a genuine reason to explore techs I have not explored before (and not just for the sake of my CV).

So I am continuing with this as a development exercise for learning, and I am learning a lot as I am approaching the project maturely (doing documentation, understanding NFRs, etc).

However, some people say that personal projects won't help much etc, so motivation is a problem.

What is your take?

@Alex Earlier you mentioned:

Big Tech open-source is obviously ideal (many engineers got hired at :meta: contributed to their OSS), but it's extremely hard to ramp up on the library and get a major PR landed. And it's not like 1 PR will do it - You'll probably need 5 to 10 to get the attention of hiring managers. However, like with most things, it will get much easier over time (the first one's the hardest).

And here: , you said:

These companies all have a large OSS footprint, and I know several people who got hired into these companies by submitting major PRs into them.

What are the parameters for determining whether something is a major PR in Big Tech Open Source according to you? Am currently working on Microsoft Windows Terminal.

Would you consider the below major PR candidates that would get the attention of hiring managers?

Btw they're both from this list as heroic tasks (7158 on completed tab since I've already completed that one):

To my understanding Major PR means lots of people want it and 7158 has around 100 upvotes so that's Major PR. But there are also some PR's where people make commits with 500 - 1000 lines of code

I'm currently building a side project. I completed my idea of a MVP for the project and I'm looking to market it at some point to get some real users.

I have some ideas on posting on reddit and linkedin, but I'm a little nervous as I've never posted on linkedin before.

My project is a web app.

Hi all,

I recently finished the Masterclasses from Alex & Rahul where Alex & Rahul discussed building apps as side projects to put on resumes. Also in , Alex mentioned he monetized his app & got $100 from premium users.

AFAIK, anything above $400 must be put onto tax return. I'm thinking about developing a small side projects & put maybe ads / premium restrictions on some features. If I do this, how do I avoid conflicts of interest with my 9-5 job, especially if the revenue coming in may way surpass $400? I'm working for a large tech company that essentially do everything hence it's hard to find a business area where the company isn't involved in.

Hi I was wondering whether you know where I could find just entrepreneurial people that try to solve a problem with AI and maybe make a business out of it? I would be interested in working on a project from some entrepreneurial person that tries to solve a problem with AI. I would like to do my own project, since now is the time to build stuff with AI maybe using ChatGPT API. However, I am very extroverted so I can't do my own project - I don't have the motivation, so it's hard to build that way.

Or are these folks mostly in Silicon Valley?

Question was inspired by . In it, he talked about how he was able to get his role at Course Hero because it was a scrappy startup when he joined, and was willing to take bets.

Do you have advice on how to find similar startups? And also connect with startup founders (and not get ghosted)?

Some consequent questions:

1. How do you know if a startup is scrappy or if it is shady/dysfunctional?
2. Are there any resources on Taro to connect with founders?

Thanks for any advice or help!

I'm a Data Engineer. Within the data engineering realm, there are a lot of tools, just like in the software engineering realm. The modern data stack is pretty popular these days. It includes things like Spark for ETL at scale, Docker for virtualized environments, Airflow for orchestration, dbt (data build tool) for transformations in SQL, Fivetran for automated data connectors, Snowflake for data warehousing, and more.

I'm far from knowing all of these tools well, primarily because I use very few of them in my day job. The main reason I want to change jobs is because of this.

I'm worried I'm caught in a catch-22 situation where I don't know the tools so I can't get jobs that have them, which I guess is similar to the new-grad cold start problem.

My question is, how should I think about learning new tools for job interviews? My current instinct is to learn via failure. That is, I have almost all of the above tools on my resume. If someone asks me about them and I'm not able to give a good answer, I will learn that part about the tool so if I'm in the same situation I can answer properly.

Another approach I can think of is to do Udemy courses of them so I have a deeper understanding of how they work. I've learned to be wary of course not tied to projects, though, so I'm hesitant.

I guess I could do projects to learn more about them, but those take time and right now I'm focused on applying to jobs.

I imagine some answers might focus on what my current problem is: can I get interviews or am I failing interviews? I don't think my issue is with failing interviews right now, and certainly not because of specific knowledge people have called me out for for not knowing these tools. I think my issue is more with sourcing interviews currently.

If there's general advice regarding how to think about prepping for an interview when you only have some of the requirements on the Job Description, would love to hear that too.

Thanks!

age: 55

experience: 30 year of on/off programming. 7 years of managing SWEs

After joining Taro, I am motivated to reset my career and not live in depression any more. Also, I think, due to side effects of Taro, my sleep has improved a lot and I am not consuming cheap dopamine any more.

My next tasks are

1. fix my resume and get it to near-perfect.
2. apply at Microsoft
3. while I wait for interview from MS, start programming in Angular / Typescript, .net services c# etc. This will at least help in healthy dopamine and mind set. and help me for future non-FAANG-interviews.
4. if I get interview call from MS, start studying DSA, else continue to do side project in Angular / C# / .net

But I was thinking, at this stage, given AI popularity, should I pivot and start learning AI because even if I get real good at side projects and programming, is it a better career move to be good at programming at this stage of my life? AI is going to get better and better and just being a good programmer is not going to cut it even in near-future?

Thanks for reading.

How can I effectively prioritize my learning as a software engineer in the early stages of my career? I often find myself shifting focus between different technologies and resources online, making it challenging to stay on track and not get overwhelmed. For instance, one day I may work on an Android project, but the next day, I get engrossed in reading a different blog, causing my focus to shift again. Any tips to maintain focus and manage the abundance of online resources to become a proficient software engineer?

I am working on a cool side project (full stack web app) which can genuinely be used and is quite helpful based on feedback I've gotten from friends who have used a prototype version. I want to actually get it out to a user base, and had a few questions:

1. How and where do I host it to keep the costs down?
I've built the backend REST API in Golang and Gin, and it uses a postgres DB to store the data. The frontend I have not started but, it will be built with React with Vite. I'm not sure what the best cost effective way of hosting it is, especially since I am planning on making this app free to use (or perhaps it is time to find a way to monetise it to cover costs). It was originally on AWS but the monthly fees were too much and I had to take it down.

(also note that I am only an intern / grad level engineer, with most of my experience in frontend, so my infrastructure knowledge is very limited)

2. How do I promote it and let people know about it?
How do I market it for free, and let people know about it and try to use it? I have some knowledge in SEO, but that is about it. Social media, Reddit and things like that come to mind, but I don't have a following on anything.

The goal is to build something genuinely helpful for people while having something cool to show off to potential employers, while not costing much money as I have no income right now.

Thank you!!

So I'm looking at exploring contractor roles more seriously. I've been a contractor before but I fell into those roles. I'm trying to be more proactive in finding contractor roles but I wanted to ask for advice as I start to work on this.

What were the most useful things you did to find contractor roles?

When doing a side-project to add to my resume to learn a new tool (e.g. Spark, Airflow, dbt since I'm a Data Engineer) or even a new language, how long should a good side-project take?

I know this question is incredibly ambiguous in that side-projects can have tremendous variability in terms of their depth and breadth, and I know that the best side projects (those with real users) can never end if you're constantly improving them and taking feature requests.

Still, if I'm a beginner to them and am trying to add 2-3 in the next, say, 3 months, how long (in terms of hours) should a decent side-project take?

I believe Gayle Laakmann Mcdowell says you can do a good resume project in a weekend. That's ambiguous (2 hours or 48 hours straight?), but it at least bounds it.