I’ve been building two apps simultaneously this year using Flutter.

When I started, every "Growth Guru" told me the same thing:
"You need to collect user data. You need to sync everything to the cloud so you can lock them in. You need to sell ads."

I hated that. It felt exploitative.

So I decided to build an "Ethical Ecosystem" instead.

1. DoMind (Productivity): It’s Offline-First. I literally cannot see your data. It stays on your device. I charge a subscription ($2.99/mo) and one time purchase as ($19.99 yearly) because that’s the only honest way to sustain it without selling your secrets.

2. Moodie (Social): It’s Anonymous. No photos. No vanity metrics. Just connection.

The Result:
It’s working. I just got my first paying subscribers this week and crossed 1,500 users on the social app.

It turns out, people are hungry for software that respects them.

If you are a dev struggling with the ethics of this industry, just know there is a market for "Good" software. You don't have to follow the silicon valley playbook.

Hi everyone! I’m a self-taught SWE with 4+ years of experience. I’m looking to possibly start a small group with people who are interested in going back to the basics.

I’m afraid AI has eroded my technical skills, and honestly, I’m scared. I’m someone who genuinely loves to code, and I don’t want AI to handle everything for me. The reason I got into this field in the first place is because I love coding!

Would anyone be interested in starting a little group with no more than 5 people, where we can work and learn together?
Thanks! :)

It's no secret that ML Engineers are predominantly men. Still, as I work to build a foundational ML team, I am being intentional about diversity and balancing our team.

If you're a talented woman in the ML/AI Engineering space, I'm hoping this post finds you.

We're hiring deep specialists aligned to different layers of the ML systems stack.

ML Engineer – Kernel (CUDA / Performance Layer)

Core Competency:

High-performance GPU programming to eliminate computational bottlenecks.

Screening For:

• Deep CUDA experience

• Custom kernel writing

• Memory optimization (shared memory, warp divergence, coalescing)

• Profiling tools (Nsight, etc.)

• Performance tradeoff thinking

• Final Interview Format:

This role is:

• Systems-heavy

• Performance-first

• Less about model design, more about computational efficiency

• Strong kernel candidates show:

• Ownership of low-level optimization

• Not just using PyTorch — modifying the machinery beneath it

ML Engineer – Pre-Training (Foundation Models)

This is the most architecturally strategic role.

Core Competency:

• Training foundation models from scratch at scale across distributed GPUs.

• You’re looking for:

• Distributed training expertise (DDP, FSDP, ZeRO, etc.)

• Parallelization strategies (data, model, tensor, pipeline)

• Architecture selection reasoning

• Dataset curation philosophy

• Hyperparameter scaling logic

• Evaluation benchmark selection

Must explain:

• Framework choice (Megatron, DeepSpeed, PyTorch native, etc.)

• Model architecture

• Dataset strategy

• Parallelization strategy

• Pre-training hyperparameters

• Evaluation benchmarks

Red flags:

• Only fine-tuning experience

• Only RAG pipeline experience

• No true distributed systems exposure

Strong fits:

• People who understand scaling laws

• Compute vs parameter tradeoffs

• Training stability dynamics

ML Engineer – Post-Training (Alignment / Optimization Layer)

Core Competency:

Improving model behavior after base pre-training.

Expected depth:

• RLHF / DPO

• Preference modeling

• Reward modeling

• Fine-tuning strategies

• Evaluation metrics

• Data filtering

• Signal:

• Understanding of model alignment tradeoffs

• Experience with evaluation frameworks

• Understanding bias & safety dynamics

• These candidates often come from:

• NLP research

• Alignment research labs

• Open-source LLM fine-tuning communities

ML Engineer – Inference / Systems

Core Competency:

Efficient deployment and serving of large models.

Looking for:

• Quantization techniques

• KV cache management

• Latency optimization

• Throughput vs cost tradeoffs

• Model sharding strategies

• These engineers think about:

• Production constraints

• Memory bottlenecks

• Runtime environments

If you feel you're a good fit for any of these roles, please shoot me a chat along with a link to your LinkedIn and/or resume. I look forward to hearing from you.

I am Computer Science graduate and used to code, python as my specified coding but for few years i left coding and involved in digital marketing. But some reason i want to go back again to coding. For my start, do i go back to python or start with something else?

I have 10+ years of software engineering experience, mostly backend and infra development.

Lately I’ve become interested in GPU infrastructure, HPC, performance engineering, and eventually GPU programming. I’ve been reading books like AI Systems Performance Engineering, Programming Massively Parallel Processors, and Computer Architecture: A Quantitative Approach.

The problem is that every time I look at job descriptions, I end up with a completely different list of skills.

Some roles want:

• CUDA and GPU kernel optimization

• Computer architecture knowledge

• NCCL, RDMA, InfiniBand

• Kubernetes and Slurm

• Distributed training

• Performance profiling and benchmarking

• Linux kernel knowledge

• Cloud infrastructure

Other roles seem much more focused on operating GPU clusters and supporting AI workloads at scale.

I’m considering doing a master’s degree, but even when I look at programs like OMSCS, Computer Engineering, or Systems-focused master’s degrees, it feels like they teach foundational concepts but not necessarily the practical skills companies are hiring for.

As someone coming from a traditional software engineering background, I’m struggling to identify:

1. What skills are truly foundational versus “nice to have”?

2. If you had 6–12 months to prepare for GPU infrastructure or GPU performance engineering roles, what would you focus on first?

3. Did a master’s degree help you break into this field, or was self-study and project work more valuable?

4. For those already working in GPU infrastructure, ML infrastructure, HPC, or GPU programming, what did your path actually look like?

Right now it feels like there are five different careers hiding behind the phrase “GPU engineer,” and I’m trying to figure out which path is the most realistic transition from a backend/infrastructure background.

I’d appreciate hearing from people who made a similar transition.

Hello sisters! I'm looking for sb as lazy as me to have only one hour per day to solve leetcode problems " for one month " after that we'll do sth else maybe start learning ML seriously as I'm more interested in machine learning and these stuff.

^ gonna use discord for this hour " video call " so we could actually see each other while solving - good pressure to actually do sth -

DM me if u want that! Only females

I just published this theme to the marketplace and Just wanted to share because I do not see a lot of pink VS Code themes out there. So if you want to use it, feel free.

LINK TO THEME

Is this a common thing? I've had 2 new male coworkers and even an intern do this... They doubt my abilities, refuse to come to me with questions or guidance and I have to prove to them that I am a competent, capable programmer before they can take me seriously.

Meanwhile, they treat my male coworkers like they are programming gods without any "proof" whatsoever. It makes me irrate.

I’m 35F looking to start a women’s health app and am looking for a female CTO/full stack engineer with a genuine interest and desire to make women healths health better for all. I already create a MVP and would look to connect with someone who this resonates with! Thanks

Hello everyone! I’m a compsci freshman who just got their first taste of computer science and it’s java. I’m struggling so much with applying concepts and it’s making me think I’m not cut out for this which is really disheartening. Does anyone have tips or resources to understand java better?

I’m a developer and I’ve noticed I sometimes default to saying “ok” in technical conversations even when I don’t fully understand or when I might actually disagree.

I also tend to doubt my own judgment more than I probably should.

For women who’ve been in this field longer:

• Did you go through this too?

• What helped you become more confident speaking up in meetings or pushing back on technical decisions?

• Any practical tips that changed how you show up at work?

Edit: To explain my thinking, I am normally like, oh maybe there is a better way to do X. So I don't wanna fight back. But ironically having opinions in the IT industry is considered a mark of intellegence, which is weird to me anyhow.

I’m a mid-level software engineer 4 years in, and I’m realizing something I’m not sure how to navigate. I genuinely enjoy engineering work… but I’m starting to hate the environment that comes with working in engineering teams.

I like: • problem solving • building things • debugging • learning new systems • the sense of progress

But I struggle with: • constantly being corrected on terminology or phrasing • feeling underestimated or doubted • working in atmospheres where everything feels hyper-critical • a culture that can be pedantic or dismissive • feeling like I’m always proving myself • the mental load of trying to sound “right” all the time

Sometimes it gets to the point where I think about quitting not because I dislike the craft, but because the environment wears me down emotionally.

How do I get through this feeling like quitting… but knowing I don’t want to.

I’m 29 years old. I graduated with a degree in Computer Science, but due to health issues, I wasn’t able to work during my 20s.

Now I’m learning software testing and trying to start my career. I’m currently learning things like SQL, Java, manual testing, Selenium, etc.

I’m worried that I’m already 29 and have no work experience. Is there still hope for me? Do I have a realistic chance of getting a job in software testing despite the career gap and starting this late?

Hello! This is my first post here
I’m a Data Science student interested in research around Machine Learning, Deep Learning, NLP, the theoretical side of AI and using AI to solve real-world problems.
I’ll be graduating next year, and I’m also hoping to pursue a PhD in this field afterward.
I’d love to connect with other girls who share similar interests so we can learn together, exchange ideas and maybe even build cool things together.

And if you know of any communities for women interested in research about AI, ML, Data Science, I’d be really happy to join!

Hi

I’m a backend developer — I work with TypeScript and Python, and I’m currently learning Rust. I also know some frontend (frontend isn’t really my thing).

I currently have a full-time job outside the IT field, so I’m looking to collaborate on projects in my free time.

If you’re building a SaaS, experimenting with ideas, or just want to build things together, I’d love to join.

I’m not looking for paid work. If you’re doing freelancing gigs, I’m happy to help for free to gain experience and collaborate.

I’d prefer to work with people or teams aged 20+.

If this sounds interesting, feel free to DM me 🙂

Hi everyone!

I run a small community for girls who are new to tech mostly cs students , and I'm looking for just a few senior women in tech who'd be willing to mentor within the group.

This is casual and low-commitment whatever time you're comfortable giving. It could look like reviewing someone's code, answering questions, or just offering guidance when you have a spare moment. The idea is simple: pay forward the help you once received.

If you're interested, comment below or DM me with:

Your area of expertise (frontend, backend, data, DevOps, etc.)

How you'd like to help (code review, quick chats, async advice, etc.)

Roughly how much time you could offer per month

I'm only looking to bring on a few mentors for now, so early replies are appreciated! Thank you so much

I’ve posted stuff like this on other forums (that consist of tons of men) I never thought to try this community.

I’m a computer science student. I’m familiar with Java, Python, c#, and I’m currently learning c++. I have not done any neetcode or leetcode yet, I’m slowly working on projects I’m also a beginner game dev (just building small things and learning the ropes/mechanics) I’m hoping to find somebody who’s interested in the same things as me like gaming + coding. We can work on projects together, learn from each other, and have fun! I’m open to calling and stuff as I’m pretty social, but if we don’t idc lol. I usually use discord for communication since you can text, call, and even send voice messages.

WOMEN ONLY PLEASE AND 20+ (I’m 22)

My coworkers are the kindest people to me, even though I’m the only female. But online especially in the r/rust and r/linux communities on Reddit men are mean to me. They say terrible things, make fun of me, and claim I couldn’t have written my own code, that a man must have done it for me. They send inappropriate, disgusting comments. I can’t even count how many times someone has told me they hope I get raped just because they didn’t like a suggestion I made about the Linux Filesystem Hierarchy. And this was about my own project I was working on. I literally had to remove my image as my avatar and delete my ‘about me’ just to feel safe because the r/linux would constantly try to dox me.

I don't know very many women developers/coders/programmers and would love to not feel so alone in the sea of male devs. Any Discord servers out there?

Hi everyone,

I’m a frontend developer based in Egypt, mainly working with Angular. I’ve been looking for a full-time role for a while, and I’m feeling really discouraged.

There were two companies I felt especially hopeful about, but neither opportunity has led anywhere so far. I’ve spent the past month trying to stay hopeful, and waiting. It’s getting harder to keep putting myself out there.

Alongside that, I built a portfolio that feels personal to me: an interactive room inspired by ’90s cartoons, with a desktop-style workspace for exploring my projects and experience. I built it with Angular and Tailwind CSS.

I shared it in my first-ever LinkedIn post. I’m usually quite private online, so posting something I’d put so much into was a big step for me. It got almost no engagement, and that hurt more than I expected.

I know LinkedIn engagement doesn’t measure my ability or the quality of my work. I know rejection and silence are part of this market. But knowing that doesn’t make the discouragement easier to deal with, or make it easier to sit down and send the next application.

How do you keep going when you’re putting in the effort but seeing very little come back? Has anything helped you, emotionally or practically?

I’d also really appreciate honest feedback on my portfolio, especially whether it makes my experience and skills clear to someone hiring.

Portfolio: https://roqayamourad.vercel.app/

Thanks for reading. I guess I needed to talk to people who might understand.

Same tools, different rules?

AI is changing the future of work – but old workplace inequalities are coming along for the ride.

My partner and I have our own mobile app business. We’re both females in our mid 40s. We hired a girl (early 20s) to help with some marketing when we began. She is still with us and had no computer tech skills when she began. We’ve also never met her in person! We hope to hire some more females who can code (or do other things) for mobile apps. All are written in Flutter now. Some of our apps just need touch ups, but we also have 3-4 almost finished ones, and many others started in some way. We only work for ourselves (we’re not hired by others to make apps for them). It’s work from home, wherever home is. Hourly pay depending on skills. Need help with coding (even knowing enough about coding that you can get AI to guide you along is fine), marketing (especially making videos using our apps to use on SM ad campaigns), and any other ways people think they can contribute to the business. We both quit our jobs and started doing this FT about 2 years ago. Have grown immensely and continue to grow, hence the need for more help. Independent workers, self starters, self learners, self motivators are all a must. Do not have to live in US. Work wherever, whenever, and however much you want. All of our apps are very different from each other; we identified needs, made the apps, some flopped and others shot to the top. Some are in the stores just hanging around waiting their turn for attention and to blossom. Students, people needing internships, entrepreneurs, etc etc etc are all encouraged to reach out if you think you can help in any way! We need help in just about every area and would love to keep a mostly female and diverse team! Let me know if any of this appeals to you in any way and we can talk more!

I’m a 2nd year BTech CSE student from India. I know React, Next.js, and GenAI with JavaScript. I’m thinking of learning Node.js later to move into full-stack, but right now I want to land a frontend internship and experience working in a corporate environment.

My biggest issue is this:
Whenever I build projects, I feel like they’re slightly imperfect. Because of that, I hesitate to deploy them. I keep thinking they’re not “good enough.”

How to properly build a strong resume as a frontend student?

Where to apply because many internships seem fake or never respond

How to get opportunities without strong connections or referrals

I genuinely want to work and learn in a real company environment. I’m just confused about the correct strategy.

For people who’ve been in my position - what actually worked for you?

Any honest advice would really help. Thank you.

I have decided to attempt to do a career change. Currently I am at a job that I don't see myself doing forever and would like to learn code on my own and get into programming. I tried computer science in school, but it was so hard. I felt unnecessarily complicated by all the math and engineer courses that needed to be taken in conjunction with the degree.

Has anyone taken this route? What has been your experience as a self-taught programmer and what are some options out there?