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๐ก ๐ง๐ถ๐ฝ ๐ผ๐ณ ๐๐ต๐ฒ ๐๐ฎ๐ โ ๐๐ท๐ฎ๐ป๐ด๐ผ
๐๐ถ๐ฑ ๐๐ผ๐ ๐ธ๐ป๐ผ๐?
Djangoโs "annotate()" lets you add ๐ฐ๐ฎ๐น๐ฐ๐๐น๐ฎ๐๐ฒ๐ฑ ๐ณ๐ถ๐ฒ๐น๐ฑ๐ ๐ฑ๐ถ๐ฟ๐ฒ๐ฐ๐๐น๐ ๐ถ๐ป ๐๐ผ๐๐ฟ ๐พ๐๐ฒ๐ฟ๐๐๐ฒ๐๐.
Instead of processing data in Python after fetching it, you can compute values at the ๐ฑ๐ฎ๐๐ฎ๐ฏ๐ฎ๐๐ฒ ๐น๐ฒ๐๐ฒ๐น.
๐ง ๐๐ผ๐บ๐บ๐ผ๐ป ๐๐๐ฒ ๐ฐ๐ฎ๐๐ฒ๐:
- Counting related objects ("Count")
- Calculating averages ("Avg")
- Adding computed fields to API responses
This reduces data processing in your app and leverages the power of your database.
Smarter queries = faster apps.
#WebDevelopment #DatabaseOptimization #FullstackDeveloper
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Iโm currently collaborating with an incredible team on Raphald AI, a medical detection application. Building the systems for a project with stakes this high is a massive reminder that the underlying backend architecture matters just as much as the machine learning model itself.
When integrating diagnostic AI, your API endpoints cannot drop requests, and your database workflows demand absolute integrity. You aren't just passing JSON payloads; you are handling critical, real-time workflows where stability is non-negotiable.
Engineering these systems continues to shape my approach to building robust Python backends. If you are developing a product that requires reliable AI integration or rock-solid FastAPI infrastructure, check out the newly updated services on my profile. Let's build something that works when it counts.
๐๐จ๐ ๐ก๐ฎ๐ง๐ญ๐ข๐ง๐ ๐จ๐ง ๐ก๐๐ซ๐ ๐ฆ๐จ๐๐
B2 English, based in Argentina. Payment preferably in USDT. Remote only. Quite a combination, right?
I built an AI-assisted job-search system around Freehire and Hirify. Both platforms offer official API/CLI access for automation, which makes them much easier to connect to an agent workflow. Simple Python scripts collect job listings and run the first pass of filtering against strict rules.
Then agents double-check the requirements, match them against my experience, and tailor my CV to each role. They highlight relevant projects and technologies I've actually worked with. Final review and approval stay with me.
๐๐ฌ ๐จ๐ ๐๐๐ฉ๐ญ๐๐ฆ๐๐๐ซ ๐๐:
โ
20 applications sent;
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8 HR screenings passed;
โ
1 video screening completed and submitted.
๐ Technical interviews are still ahead.
I'm not ready to write off the market. Even with my constraints, things are moving.
A job search deserves ๐๐ง ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ ๐๐ฉ๐ฉ๐ซ๐จ๐๐๐ก ๐ญ๐จ๐จ: clear rules, automation, and checks on the results.
Messy Data In. Clearer Decisions Out. ๐
Over the past year, I've noticed most businesses don't struggle because they lack data โ they struggle because that data never turns into a decision.
That's the gap I work in:
โ Cleaning and analyze data with Python & R
โ Turning findings into investor-ready pitch decks
โ Polishing the final write-up so nothing gets lost in translation
If your team has data sitting in spreadsheets with no story attached, or a pitch deck that needs to actually land โ that's exactly where I can help.
Open to projects. Let's talk ๐
