I'm a product-minded fullstack software engineer with a strong eye for UX and design. I work confidently across the stack and thrive in fast-paced startup environments where quick, innovative problem-solving is key. I use AI heavily in my development workflow to ship faster, and I design and build AI-powered features as core parts of the products I work on.
Location: São Paulo, Brazil
Remote: Yes
Willing to relocate: No
Technologies: Javascript, Typescript, CSS, React, Vue, Ember, but also NodeJS, Postgres, MongoDB
A catalog of Brazilian fiction writers with natural-language semantic search. Author biographies are chunked and embedded via OpenAI embeddings, stored in Postgres with pgvector, and queried by cosine similarity against the embedded user query, then LLM rerank. The site is in Portuguese, but the search accepts English queries, so it can be tested directly.
an AI-conducted conversational survey platform. I envisioned, designed, and built it end-to-end, leveraging AI-assisted coding and integrating advanced AI features.
A web game built to explore AI as a moderation agent on systems with public conversation. You play as a coach typing instructions for your player. Repo can be made public for potential employers.
Well, practice to get better at writing (and, therefore, judging writing) yourself. It seems obvious. Your skills are not frozen in time and set in stone.
They are 18+ at Angel Academy, right? I would say they are a lot older than 11, 14, and 15. One year I think is a lot of development in the teens. Doesn't seem a fair comparison
> "A spectrum would involve everyone having the same problem to different degrees;"
I learned the opposite, that the term spectrum is used when it is not same problem to different degrees. That's how the autism spectrum was explained to me, because the problem differs over the spectrum. In opposition to "level" or "gradient", which is intended to be something more linear over the same dimension.
I believe this redefinition of the term comes from how a "rainbow spectrum" is perceived, as different colors (and not as it is defined, as a linear degree of wavelength)
> "I suspect many job postings would become discussion battlegrounds"
I suspect they wouldn't. I suspect companies that ghost and post fake jobs wouldn't even reply. And companies that have real job posts would reply and have a chance to convince the job is real.
People already have to scroll a ton of job posts that are not for them (due to stack, location, seniority, whatever) and the [-] button is pretty efficient in hiding long discussions.
I am in favor of not making comments about suspicious posts off-topic. Votes and comments is the natural way that all disputes are handled in this forum.
The [-] button is a pretty good solution for long discussions in a job post.
Let seekers share their experience is a pretty useful signal, even if there is no way to know if the seeker is telling the truth. But downvotes are even more secretive and are allowed.
I was told that the main reason the “Who is hiring?” thread (and other job boards for startups) has much fewer remote positions that are global (the vast majority is Remote US now) is because of a legislation that reduces a fiscal incentive when hiring software engineers and the reduction is much more aggressive when the engineers are from outside the US.
Doesn’t it affect big tech companies? Only startups?
I would guess the opposite, with big companies being much more savvy and influenced by fiscal incentives.
Got stuck in that one too because I mistranslated vegetables.
In my mind, they were all vegetables, since they are no animals or minerals. As it would be in Portuguese.
Edit: thinking about it, he wanted to make a joke about Mr Potato, but ended up creating a captcha for non-English native speakers. He could try selling that idea to ICE lol
I think the most interesting part is that, in AI, software does not have zero marginal cost anymore. You can’t build once and scale to billions just investing in infrastructure.
Still, companies like OpenAI and Twitter are doing just that. Thus losing money.
Will AI evolve to be again as regular software or will the business model of tech AI become closer to what traditional non-tech companies are?
How the WalMart of AI will look like?
Does SaaS with very high prices and very thin margins even work as a scalable business model?
I’m a product-minded fullstack web developer with 8 years of experience and a strong eye for UX and design. I lean towards frontend work but handle backend challenges confidently. I thrive in fast-paced startup environments where quick and innovative problem-solving is key.
Location: São Paulo, Brazil
Remote: Yes
Willing to relocate: No
Technologies: Javascript, Typescript, CSS, React, Vue, Ember, but also NodeJS, Postgres, MongoDB
There was a case in Brazil recently where a medicine student in a top university embezzled from her graduation party funds (she was at the party committee) to invest in cryptocurrency, make profit and return the money to the fund keeping the profit. But she lost money on crypto. Then she tried to gamble (playing a lot of money on the lottery) to earn what she lost. Lost everything and got caught. Expelled by the university.
She had a lot of potential for upward mobility as a doctor from the most prestigious school in Brazil. Still did it.
I would phrase that the humanity understanding of the world has always been just behind its complexity. As we advance in our understanding of the world, world’s complexity advances a bit more.