Software & Systems Engineer · Real-Time and Industrial IoT
> I build Real-Time Systems
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.
Measurable results in production systems, not demos.
1–10 ms
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.
77%
Sole architect
Of 681 commits in the industrial hardware-control system: 5 years, 398 files, version 12 in real field use.
100%
Offline operation
Offline-first ecosystem with bidirectional cloud↔local sync: the plant works with no internet and reconciles when it returns.
0 → prod
Technical founder
DropAudio CCS from zero to production: Nuxt 3 + Supabase, multi-currency checkout and 102+ verified reviews.
$ systemctl status production --all
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.md2022 — 2026 · 5 years
Industrial IoT hardware control
Principal author and architect
Desktop 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.
Full 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.
Desktop 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.
industrial_time_series_analysis.md2024 — 2026 · 2 years
Industrial time-series analysis
Principal author
Tool 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.
$ ./deploy dropaudioccs --prod
DropAudio CCS
My own product in production: public storefront and admin panel, built end to end.
dropaudioccs.com In production
Founder & Software Architect
The industrial systems show how I work under constraints; DropAudio shows I can also take a whole product to market — from the Supabase data layer with RLS to the buying experience, on Nuxt 3 and Vercel. Not a demo: a real store in operation.
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.
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.
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).
PythonOpenCVPyTorchRustPolarsPyO3
Founder & Software Architect
DropAudio CCS · dropaudioccs.com · Own product
Jun 2021 — Present
Designed and shipped a complete e-commerce platform (Nuxt 3 SSR + Supabase/PostgreSQL with RLS) to production on Vercel, with 102+ 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).
Nuxt 3SupabasePostgreSQLVercelWeb Push
IT Support Specialist
RenéDessés de Venezuela · Caracas, Venezuela · Full-time
Jan — Sep 2021
Maintained equipment, software and Apache/Linux servers.
Installed and administered enterprise networks, including Cisco infrastructure.
LinuxApacheCisco
$ cat specialties.md
What does Daniel Silva specialize in?
Four fronts, one engineering standard.
cv.sys
10+
Industrial Vision & OCR
Video stabilization with deep learning and optical flow (undergraduate thesis), industrial OCR for reading plant panels, and document extraction with dual-engine pipelines.
ai.sys
6+
Real-Time & Applied AI
Conversational voice assistants (Rust + Python), streaming transcription and synthesis, full-duplex WebSockets and event detection over sensor data.
web.sys
12+
Full-Stack Platforms
Complete products with Vue 3 and Nuxt 3: e-commerce with admin panel, industrial platforms with 2D/3D visualization, and deployments on AWS, Vercel and the edge.
api.sys
8+
Backend, APIs & Data
Microservices with FastAPI and gRPC, data pipelines with Polars/pandas, offline-first synchronization, Redis and public APIs consumed by third parties.
$ cat services.json
Work with me
Three ways to hire me. Clear scope and price from the first call.
Performance & architecture audit
From$1,500 USD
1 – 2 weeks
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$6,000 USD
Per project · 6 – 12 weeks
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$3,500 USD
Per month · 20 h/week · 3-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 rate: $45–65 USD · Fixed-scope quotes available · Contracting via Deel, Payoneer or crypto
How I work
Async by default, with one fixed weekly call.
I deliver software that runs, not slides.
Everything I build ships with tests and documentation.
If scope changes, it gets quoted before, not after.
$ ls projects/
What has Daniel Silva built?
A curated selection of my work on GitHub.
dropaudio_ccs.vue Live
DropAudio CCS
Complete e-commerce in production with an admin panel: catalog, multi-currency checkout, audio recommender and real-time deliveries.
system_stabilization_interpolation.py Public
System Stabilization Interpolation
Video stabilization system for mobile devices using motion meshes and interpolation — undergraduate thesis.
flownet_video_stabilization.py Public
FlowNet Video Stabilization
Deep learning video stabilization: global motion estimation distilled from optical flow.
camara_ocr_python.py Private
Camara OCR Python
Industrial camera monitoring with OCR to verify coke cleanliness in refineries.
realtimevoiceassistant.exe Public
RealtimeVoiceAssistant
Real-time conversational voice assistant: transcription, NLP and speech synthesis with Gemini Live.
extract_rif.sh Public
extract rif
HTTP microservice extracting structured RIF (SENIAT) data from PDFs or images with a dual-engine OCR pipeline.
bolsa_valores_caracas_api.sh Private
bolsa valores caracas api
Public FastAPI serving data on stocks listed on the Caracas Stock Exchange.
$ cat education.md
Education & Certifications
University degree completed in parallel with professional experience.
education.db
Education
Bachelor's Degree in Computer ScienceLUZ-IUTA · University of ZuliaGraduated Apr 2025
Associate Degree (TSU) in ITLUZ-IUTA · University of Zulia2018 — 2021