Real-time latency
Replaced HTTP polling with a full-duplex WebSocket architecture: from 200–500 ms down to 1–10 ms and up to −95% bandwidth.
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
Why hire Daniel Silva?
Measurable results in production systems, not demos.
Sole architect
Of 681 commits in the industrial hardware-control system: 5 years, 398 files, version 12 in real field use.
Offline operation
Offline-first ecosystem with bidirectional cloud↔local sync: the plant works with no internet and reconciles when it returns.
Technical founder
DropAudio CCS from zero to production: Nuxt 3 + Supabase, multi-currency checkout and 126 verified reviews.
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
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
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
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
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
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
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
Custom system, zero to production
From$3,000+ USD
I design, build and deliver the whole system: hardware integration, real-time, offline-first, installers and tests.
- Architecture and working prototype in the first 2 weeks
- Test suite and technical documentation
- Packaging and deployment (desktop or web)
- Full code handover: no lock-in to me
Fractional systems engineer
From$1,800 – $3,500 USD/mo
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
Systems in production
Four systems built in parallel over five years. Client work under confidentiality: I describe architecture and decisions, never business data.
Industrial IoT hardware control
Principal author and architectDesktop application to operate industrial inspection cameras from two networked machines in a coordinated way, with no technical support present in the field.
- 524 of 681 commits (77%)
- 398 files · 214k+ lines
- v12 in real field use
- Dual-PC architecture: the same executable relaunches itself and assumes its role (server or client) with zero manual setup by the operator.
- Chunked image transfer with reassembly and connection-drop handling; explicit timeouts at every network boundary so a powered-off camera never freezes the UI.
- Interactive maps with blitting on matplotlib embedded in Qt: smooth zoom and pan over live geometric data.
- Refactored from monolith to modular library without stopping delivery, with a pytest/pytest-qt suite and a versioned Windows installer.
PythonPyQt5OpenCVSocket.IOmatplotlibpytestPyInstaller
Industrial web platform
Repository founder · integration pointFull inspection and analytics platform for industrial assets: from the initial repository "chassis" to a product in production, integrating the work of a ~14-person team.
- ~2,000 commits
- ~14 contributors integrated
- 11+ integration branches
- Owned the entire stack: Nuxt/Vue frontend, Express/TypeScript backend, Sequelize/MySQL data layer and AWS deployment.
- Crack-analytics engine and 2D/3D visualization (Highcharts, D3, Three.js) over industrial asset geometry.
- Real-time voice chatbot: WebSocket, audio capture and synthesis, speaker detection and live mode with auto-recovery.
- Owned the feature→production cycle: continuous versioning, query performance testing, build and deploy.
Nuxt/VueTypeScriptExpressMySQLThree.jsWebSocketsAWS
Offline-first ecosystem
Principal author since day oneDesktop client that runs 100% offline on plant floors and syncs bidirectionally with the cloud whenever connectivity returns.
- ~250 commits
- ~845 files
- Self-contained installers
- Cloud↔local sync with per-endpoint state, connectivity detection and retries: zero lost work in the field.
- Python orchestrator that brings up a portable database, Node/TypeScript services and the API, all packaged in an installer that resolves its own dependencies.
- Custom AI audio transcription and synthesis pipeline (FastAPI/Uvicorn) integrated into the product.
- CI/CD with GitHub Actions, tests with configuration isolation and database connection pooling.
PythonFastAPINode/TSMariaDBS3GitHub ActionsPyInstaller
Industrial time-series analysis
Principal authorTool that automatically detects thermal cycles and key gradient points in sensor series, replacing manual spreadsheet analysis.
- CLI-parameterized pipeline
- JSON · Excel · PNG outputs
- Rust port exploration
- Peak and valley detection with SciPy over a smoothed signal, plus interpolation of faulty readings so detection never breaks.
- Polars-based processing, with the pipeline adapted to two source-format changes without a rewrite.
- Engineering-ready outputs: structured JSON per cycle, an Excel table and an annotated plot.
- Documented Rust rewrite exploration (calamine + polars), archived as reference.
PythonPolarsNumPySciPymatplotlibRust
Private repositories (client code / NDA). I can walk through architecture, decisions and trade-offs on a call.
Where has Daniel Silva worked?
Five years shipping software to production. The roles overlap by design: Ea2technology is a part-time contract, and alongside it I run independent consulting and my own product.
- Jul 2021 — Present
Lead Performance & Systems Engineer
Ea2technology · Canada · Remote · Part-time contract
- Designed and deployed an industrial Digital Twin telemetry system for real-time structural monitoring, processing high-frequency sensor data to anticipate critical failures.
- Designed a low-latency, full-duplex WebSocket architecture that replaced HTTP polling: from 200–500 ms to 1–10 ms and up to −95% bandwidth.
- Built a desktop application for coordinated remote control of industrial IoT hardware across networked machines, designed for zero-supervision operation under unreliable networks.
- Built an offline-first ecosystem with bidirectional sync, enabling 100%-offline operation and automatic reconciliation once connectivity is restored.
- Integrated an AI-based audio transcription and synthesis pipeline into the platform.
- Led the migration of legacy monoliths to cloud-native microservices on AWS, optimizing compute-intensive pipelines with C++ and Rust.
- Jan 2023 — Present
Software Performance Consultant & Algorithm Engineer
Freelance · Independent · Remote · Industrial / Maritime · Per project
- High-performance video stabilization engines with optical flow and matrix interpolation (Python, NumPy, SciPy, OpenCV).
- Global motion estimation with FlowNet (distilled deep architectures), combining classical math with machine learning.
- Time-series pipelines that detect cycles and inflection points in industrial sensor data (Polars, SciPy), configurable via CLI.
- Stack audits: memory leaks, concurrency and latency, delivering refactor roadmaps in Rust, C++ and Python (PyO3).
- Jun 2021 — Present
Founder & Software Architect
DropAudio CCS · dropaudioccs.com · Own product
- Designed and shipped a complete e-commerce platform (Nuxt 3 SSR + Supabase/PostgreSQL with RLS) to production on Vercel, with 126 verified reviews.
- Built an interactive 3-step recommender and a technical comparator that reduced purchase friction.
- Implemented a custom multi-currency checkout (USDT, Zinli, Pago Móvil) with live rates and automated Web Push via pg_cron.
- Built a resilient architecture with a backup catalog and technical SEO (JSON-LD, sitemap, PWA).
- Jan — Sep 2021
IT Support Specialist
RenéDessés de Venezuela · Caracas, Venezuela · Full-time
- Maintained equipment, software and Apache/Linux servers.
- Installed and administered enterprise networks, including Cisco infrastructure.
What has Daniel Silva built?
A curated selection of my work on GitHub.
Education & Certifications
University degree completed in parallel with professional experience.
Education
- Bachelor's Degree in Computer ScienceLUZ-IUTA · University of Zulia
- Associate Degree (TSU) in ITLUZ-IUTA · University of Zulia
Languages
Spanish (native) · English B2 professional
Certifications
- Vue.js 2 Professional — Platzi (2024)
- TypeScript: Advanced Types & Functions — Platzi (2024)
- TypeScript Fundamentals — Platzi (2024)
- Web Optimization — Platzi (2024)
- Python: NumPy & Pandas — Platzi (2024)
- Introduction to Generative AI — Duke University / Coursera (2025)
Which technologies does Daniel Silva work with?
Tools I use every day.
Python TypeScript Rust Vue 3 Nuxt 3 React Native Vite PyTorch OpenCV Python TypeScript Rust Vue 3 Nuxt 3 React Native Vite PyTorch OpenCV
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.