Daniel Silva, ingeniero de software
Available for freelance projects Caracas, Venezuela · 100% remote · UTC−4

Daniel SilvaSoftware that keeps running when the network doesn't.

Software & Systems Engineer · Real-Time and Industrial IoT

I design and ship the software industrial operations depend on: real-time telemetry, networked hardware control, and systems that keep working when the network does not. Five years, four production systems, ~3,000 commits.

Free · I reply within 24 h

  • 5+Years shipping to production
  • 4Systems in production
  • 3K+Commits over 5 years
  • 100%Remote · LATAM ⇄ NA/EU

Case studies

Four systems, told as problem, solution and result.

My own product, in production

DropAudio CCS

120+verified reviews from real customers

The problem
An audio distributor in Venezuela sold through WhatsApp and spreadsheets: no browsable catalog, prices in three currencies that change daily, and deliveries coordinated by hand.
What I built
A single Nuxt 3 and Supabase app covering the public store and the admin panel: a 3-step headphone recommender, a technical comparator, checkout in USDT, Zinli and Pago Móvil with live BCV rates, inventory, per-km deliveries and push alerts.
The result
The store runs every day. If Supabase goes down, the backup catalog keeps selling and checkout still builds the order over WhatsApp.
  • 19 models in the catalog
  • Writes locked down with RLS and is_admin()
  • Delivery reminders via pg_cron and Web Push
  • Nuxt 3
  • Supabase
  • PostgreSQL
  • Tailwind
  • Vercel
  • Web Push
dropaudio.mp4

Internal tool with local AI

DropAudio Reel Studio

2 h15 minof editing per reel

The problem
Every reel for the store meant manually reviewing all the phone footage to find usable takes. About two hours per piece.
What I built
A desktop app that transcribes with faster-whisper, describes and scores each take with vision models running on the same machine, writes the script and delivers the assembled 1080×1920 CapCut project.
The result
Editing drops to about 15 minutes, mostly unattended. Footage never leaves the computer.
  • Static frames skipped before any model call
  • Resumable analysis: a crash costs one file, not the run
  • Rule-based script fallback if the model fails
  • Python
  • faster-whisper
  • Ollama
  • pyCapCut
  • ffmpeg
  • PyInstaller
View the code
reel-studio.mp4

Industrial system for a client

Industrial monitoring with networked camera control

5 yearsrunning on the plant floor, with no on-site tech support

The problem
Operating industrial cameras split across two networked machines, somewhere nobody can go restart anything if it hangs.
What I built
A Python desktop app where the same executable takes its role on each machine with no manual setup, transfers images in chunks and puts an explicit timeout on every network boundary.
The result
A powered-off camera no longer freezes the interface. The system has been in real use for five years and ships with a versioned installer.
  • Automatic role at startup: server or client
  • Chunked image transfer with reassembly
  • Automated tests with pytest
  • Python
  • PyQt5
  • OpenCV
  • TCP
  • pytest
monitoring.mp4

Applied research

Video stabilization

2 enfoquesclassic and deep learning, comparable side by side

The problem
Handheld phone video shakes. My undergraduate thesis proposed AI-predicted adaptive weights, but the original code only ran from the command line and did not implement them.
What I built
Two stabilizers: one using a mesh, optical flow and interpolation, with a network predicting its weights and a before/after web UI; and one that estimates camera motion with a distilled PWC-Net and smooths the path with quadratic programming.
The result
Results are measured with MSE, RMSE, PSNR and SSIM, and the GPU version stabilizes new videos without retraining.
  • Live progress over SSE from FastAPI
  • Geometric and photometric correction combined
  • Undergraduate thesis, University of Zulia
  • Python
  • PyTorch
  • OpenCV
  • scikit-learn
  • FastAPI
  • CUDA
stabilization.mp4

Work with me

Four ways to hire me, from a landing page to a full system. Clear scope and price from the first call.

Landing page and SEO, GEO & AEO

From$300+ USD

Per landing page · 1 – 2 weeks

A fast, bilingual page that Google finds, AI assistants cite and that turns visits into leads.

  • Custom landing page, fast and mobile-first
  • Technical SEO: metadata, sitemap and Core Web Vitals
  • AEO: FAQs and structured data to show up in answers
  • GEO: content and llms.txt ready for ChatGPT, Gemini and Perplexity to cite you

Performance & architecture audit

From$800 – $2,500 USD

1 – 3 weeks, depending on system size

I review your system and tell you exactly what is slowing it down and in what order to fix it.

  • Latency, memory-leak and concurrency diagnosis
  • Map of single points of failure
  • Refactor roadmap prioritized by impact/cost
  • Handover session with your team

Fractional systems engineer

From$1,800 – $3,500 USD/mo

10 to 20 h/week · 2-month minimum

I take ongoing ownership of one of your systems: features, releases and architectural health.

  • Real ownership, not scattered tickets
  • Weekly demo and written report
  • Overlapping hours with the Americas
  • Scalable to full-time

Hourly: $35–65 USD depending on the work · Fixed-scope quotes available · Paid via Deel, Payoneer or crypto

contact.md

Got a system to fix or build?

I reply within 24 hours. First 30-minute call is free to review your case.

Professional references available on request.

Tell me what you need

I reply within 24 hours. If you prefer, message me directly on WhatsApp.

I prefer WhatsApp

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© 2026 · Designed and built by Daniel Silva

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