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jonaias commented on Ask HN: Who wants to be hired? (December 2025)    · Posted by u/whoishiring
jonaias · 13 days ago
Location: Brazil

Remote: Yes (US time zones preferred)

Willing to relocate: No

Technologies: C/C++, Embedded Linux (Yocto, RT), Zephyr, Qt, Python, Typescript, AWS, Elixir/Phoenix

Résumé/CV: https://www.linkedin.com/in/jonas-dourado/

Email: jonas.jonaias (at) gmail.com

I am a Software/Firmware Engineer with 14+ years of experience bridging the gap between hardware constraints and user experience. I specialize in system optimization, embedded systems (bare-metal to Linux), and scalable backends.

Highlights:

- Firmware: Yocto, Zephyr, Linux, FreeRTOS, BLE, DSP, ARM/MIPS/x86.

- Backend/Infra: AWS (CloudFormation, IoT), Elixir/Phoenix, CI/CD pipelines.

- Recent impact: Owned the full audio pipeline at Limitless AI (from firmware audio codec to backend storage) and optimized audio playback latency to <800 ms at p99. At R-Zero, reduced the firmware flashing step by 10 minutes per unit on the manufacturing line.

- Experience: Limitless AI (Wearable), SunPower (Energy), and R-Zero (IoT Health).

Comfortable owning the stack end-to-end—from low-level drivers and real-time firmware to backend ingestion, cloud services, and operations. Strong recommendations available from leads at my last 3 projects.

Open to consulting or full-time. Happy to hop on a call to review your architecture or discuss optimization bottlenecks.

jonaias commented on Berry Script: lightweight embedded scripting language for microcontrollers   berry-lang.github.io/... · Posted by u/hasheddan
90s_dev · 5 months ago
This seems to have almost the exact same feature set and use-case as Lua. How does it compare in performance? I doubt it can be faster than Lua 5.5
jonaias · 5 months ago
Using Lua for embedded scripting is a delight
jonaias commented on How I use audio journaling and AI to improve my trading decisions   fractiz.com/how-i-use-aud... · Posted by u/anupshinde
qntmfred · 8 months ago
I have been using a Google Form with a single prompt to journal since 2016

https://x.com/kenwarner/status/1436385090679017477

I go for long walks at night a few times a week and find myself journaling a lot then. It got annoying to stop my walk to type out a thought so much, eventually I started primarily voice typing instead.

But I still had to stop and pull up the Google form, then start voice typing, fix any mistakes, and then continue the walk. So I moved on to just turning on a recording app on during the walks and just start talking whenever I want without having to stop or pull out my phone.

https://x.com/kenwarner/status/1817348131291291892

I transcribe the audio file when I get home and add it with a summary to the journal.

Now I keep a livestream going while I'm working at my PC and transcribe and summarize whatever happens there too.

jonaias · 8 months ago
You might want to check out the Limitless Pendant: https://www.limitless.ai/

It’s designed for exactly this kind of use—hands-free, continuous voice capture while you go about your day. You get access to your raw data through an open API, so there’s no lock-in.

(Disclaimer: I work there)

jonaias commented on Johnny.Decimal – A system to organise your life   johnnydecimal.com... · Posted by u/debone
lardissone · 10 months ago
I tried many organization systems, including Johnny Decimal like PARA. And none of them worked for me. As an ADHD person, I've found the best way for me is not put effort in organizing at all. For that reason I've found tools like Logseq/Tana/Reflect does a great job. I just write in the journal and tag items accordingly if required, then if I need to write some long form document, I create specific pages for it. Then search and backlinks are everything I need. My brain works better searching than browsing.
jonaias · 10 months ago
You might want to take a look athttps://www.limitless.ai/#pendant

We've received great feedback from ADHD users about how it has helped them throughout their lives

jonaias commented on QNX is now free for anything non-commercial, plus there's an RPi image   blackberry.qnx.com/en/pro... · Posted by u/JohnAtQNX
sitzkrieg · a year ago
rt linux is not appropriate for many hard realtime requirements

i have seen some try and fail in an effort to save $perceived_value

jonaias · a year ago
RT Linux is not the only alternative. There are now plenty of options for achieving hard real-time performance without relying on proprietary RTOS solutions:

  Dedicated Real-Time Cores: Many SoCs include dedicated cores specifically for hard real-time tasks.
  Microcontroller Companions: Pairing a microcontroller running a lightweight RTOS with a larger, general-purpose processor as a supervisor (You can use normal Linux).
  FPGAs: Custom FPGA implementations can deliver deterministic timing where ultra-low latency or specialized processing is needed.
And ofc, RT Linux, that in my experience is suitable for over 80% of hard real-time applications (an estimation, based on experience as a former user—your mileage may vary).

jonaias commented on New wildlife GPS tracker uses kinetic energy for power   scientificamerican.com/ar... · Posted by u/ck2
jonaias · 2 years ago
Repository with Hardware/Firmware/Backend: https://github.com/TroelsG/Kinefox
jonaias commented on Statecharts: A Visual Formalism for Complex Systems (1987) [pdf]   inf.ed.ac.uk/teaching/cou... · Posted by u/Cieplak
jonaias · 5 years ago
Back in university, I had a course on reactive systems, a whole semester of state machines and statecharts. I can't stress enough how useful it was in my career.

I've retrofitted some near unmaintainable embedded systems, and one of the easiest ways to improve spaghetti code is refactoring some of the vars into state machines/statecharts.

Btw, state machines play well with event sourcing and clustering.

jonaias commented on How We Built Uber’s Highest Query per Second Service Using Go   eng.uber.com/go-geofence/... · Posted by u/dodders
williamsharkey · 10 years ago
I would be interested in comparing the performance of Uber's first pass "city-fencing" vs a pre-computed 1D array.

EG: Subdivide a flat projection of earth into n^2 squares. Create an array of length n^2. Set the value of each element in the array to a list of canidate geofences(which have area in that square).

Scale lat and long between 0 and 1. Then you can index directly into it with PrecomputedArray[floor(lat*n+long)]

This is trading space for time, may as well choose space here.

jonaias · 10 years ago
Classical example where algo > lang

Great approach!

u/jonaias

KarmaCake day12March 2, 2016View Original