Hire the Best Embedded Systems Engineers
in Brazil

Hi there, my name is Weverson Barbieri, ● Bachelor’s degree in Business Administration and Automotive Systems Technology, with proficiency in English, multiple training and specialization courses in technology, and over six years of experience in large national and multinational companies. ● Skilled in IT project management, serving as a direct interface with stakeholders to gather requirements and develop new features/solutions, ensuring that all activities are executed according to the agreed scope and delivered with quality to the end user. ● Proficient in developing interactive front-end applications using Streamlit, enabling rapid prototyping and deployment of data-driven tools. Passionate about transforming raw data into actionable insights through automation and intuitive user interfaces. ● Strong experience in Python programming using pandas, streamlit, jupyter, pdfplumber, and Pyinstalled. Skilled in building efficient data pipelines and cleaning routines for complex datasets. Experienced in version control using Git and GitHub, ensuring collaborative development, code integrity, and streamlined project management. Passionate about transforming raw data into actionable insights through automation and intuitive user interfaces. ● Expert in diagnosing electrical and electronic failures in ECUs for engine, body, and transmission management in American vehicles. ● Deep understanding of automotive network communication protocols, such as CAN BUS, CAN BUS sniff and LIN. ● Proficiency in DTCs (Diagnostic Trouble Codes) and their respective circuits. ● Comprehensive understanding of electrical schematics, input/output signals, sensors, actuators, pinouts, and ECUs. ● Programming portfolio available on GitHub: weversonbarbieri and hydra-code-repository I invite you to look at my profile, and let’s do something great together.

I am pursuing my Master's in Applied Mathematics and since the beginning of my undergrad I've been trying to develop a very horizontal, interdisciplinary formation, which is most organic to me since my interests span a wide range of -- often intertwined -- topics. My core technical interests are within the grand areas: Artificial Intelligence, Pure & Applied Mathematics, Theoretical Computer Science, Complex Systems & Complexity Theory, and Network Science. I have an extensive mathematical background and solid programming experience. A driving problem that could be said to be the connecting thread between all of the aforementioned interests is that of further understanding "intelligence" as an emergent phenomenon that arises from the dynamics found within and between complex adaptive systems.

Backend engineer for AI infrastructure and developer experience. Primary in Go and Python, with TypeScript and Rust where the work demands it. I ship small, focused, self-contained software: one binary, one config, one deploy. What I build: ** Compilers and language tooling: Author of Kilnx, an htmx-native backend language. Full compiler pipeline in Go (~19K LOC): lexer, recursive-descent parser, static type system with SQL-aware type inference, security analyzer, query optimizer, LSP server, embedded SQLite runtime, RBAC, WebSockets. Single ~15MB binary output, Apache 2.0. **Data quality and pipelines: Author of Provero, a declarative data quality engine on PyPI. Multi-dialect SQL (PostgreSQL, DuckDB, SQLite), 16 check types, SodaCL import, dbt test export. Built for data engineers, not data scientists. **Developer tooling at scale: Maintainer of AToolZ, a 47-repo collective: distributed via Homebrew, PyPI, VS Code Marketplace, and Chrome Web Store. Flagships include htmx-devtools, htmx-vscode-toolkit (IntelliSense across 20+ template languages), picocrawl (URL to LLM-ready Markdown, CLI + HTTP + MCP in one 15MB binary), terraxi (cloud discovery to Terraform/OpenTofu codegen), and scope-guard (Claude Code plugin detecting agent scope drift). **AI agent infrastructure: MCP servers (flyte-mcp exposes Flyte V2 to AI coding assistants), LSP servers (kitty-lsp-toolkit), Claude Code plugins, agentic knowledge bases (oss-kb for LLM code review with historical context). OSS contributor in Apache Airflow, Backstage, Burr, Flyte, Jenkins, htmx, and _hyperscript. I read source before opening issues, ship small PRs, and document trade-offs. Production track record: - Financial transaction pipeline: Go service processing 2M+ daily transactions. Custom query optimizer cut p99 latency 60%. Cutover from nightly batch to streaming on bare metal, zero downtime. - Industrial IoT telemetry: 50K events/s sustained from 500+ field devices. PostgreSQL time-series storage, custom connection pooling. - Document processing: 100K+ documents/day with OCR, classification, structured extraction. Kubernetes workers autoscale on queue depth. - Real-time analytics: aggregation engine took dashboard queries from 12s to 180ms. Postgres materialized views, Redis pub/sub. - ERP migration (retail): 8M+ records to a modern stack. Diff engine and dry-run mode cut migration from 3 days to 6 hours. - Multi-tenant API (manufacturing): 40+ tenants, p99 90ms at 3K QPS. Row-level RBAC, PostgreSQL logical replication. Industries: finance, energy, oil and gas, retail, manufacturing. Cross-border delivery US, Brazil, LATAM. Bilingual Portuguese, full professional English. How I work: - I read the codebase before proposing a fix. - I write tests when they prevent regression, not for theater. - I document trade-offs in PR descriptions and design docs. - I prefer single-binary, single-config deploys over service sprawl. - I refuse work where the scope or constraints are not defined. Stack: Go, Python, TypeScript, Rust, SQL. PostgreSQL, SQLite, DuckDB, Redis. Kubernetes, Docker, bare-metal Linux, AWS, GitHub Actions, Apache Airflow. LSP, MCP, compiler design, static type systems. Best fit engagements: - Backend service design, migration, or rewrite (Go or Python). - Data quality, pipelines, and observability. - Developer tooling: LSPs, MCP servers, CLIs, VS Code extensions, Chrome DevTools panels. - AI agent infrastructure: scope enforcement, knowledge bases, MCP integrations. - Compiler design and DSL implementation. Reach me here on Upwork or at andre@aex.partners.

Embedded Hardware Engineer specialized in PCB and RF design for IoT. Five years across industry, freelance, and academic projects — including two years in R&D at Furukawa Electric (Japanese electronics multinational), split between hardware design and QA & test engineering. I take products from concept to manufacturable PCB. 🔹 MOST CLIENTS COME TO ME WITH ONE OF THESE PROBLEMS — "I have a concept but don't know how to turn it into a real board" — "My PCB is designed but I need someone to review it before fabrication" — "My RF module is misbehaving and I can't figure out why" If any of these sounds like you, keep reading. 🔹 WHAT I DELIVER Schematic, multi-layer PCB layout, RF integration, EMI/EMC-aware design, BOM, and complete manufacturing files (Gerber, drill, pick-and-place) ready for JLCPCB or any contract manufacturer. I also solder and test prototypes myself on my own bench — I don't just design on screen. 🔹 SPECIALTIES Low-power IoT hardware — multi-month battery life on coin-cell and Li-ion designs RF and wireless integration — LoRaWAN (SX126x), BLE, Wi-Fi, NB-IoT, LTE Mixed-signal PCB — digital, RF, and battery management on a single board MCU families — STM32 (L0, L4), ESP32 (S3, C3, P4), RP2040 Design for Manufacturability & Test — informed by hands-on QA experience at Furukawa, watching how boards actually fail in environmental, vibration, and thermal testing. Fewer respins, fewer surprises in production. 🔹 RECENT WORK Three-tier LoRaWAN sports scoring system, now in production: battery-powered controller (STM32L0 + SX1262, 3+ months runtime) plus two gateway generations (Wi-Fi, and Wi-Fi + Ethernet with Wiznet W5500) MIDI-to-I²C controller for a European music-technology client — ⭐⭐⭐⭐⭐ feedback M.2-form-factor modular pedal platform with ESP32-P4 and FPGA modules (in progress) AIoT vehicle telemetry system (STM32 + AWS) Low-noise analog audio circuits for musicians — hi-fi pedal designs Full case studies with photos and schematic excerpts are in my portfolio below. 🔹 TOOLS KiCad and EasyEDA Pro for freelance delivery, with custom component libraries built from scratch. Hands-on Altium experience from industry work at Furukawa. Bench equipment: spectrum analyzer, oscilloscope, soldering and rework station. Python for test automation. 🔹 COMMUNICATION & AVAILABILITY Fluent written English — I work best with clear, documented async communication, which in my experience is exactly what hardware projects need: written specs, annotated schematics, and traceable decisions. Also fluent in French and Portuguese. 30 hours per week. GMT-3 time zone — strong real-time overlap with both US and EU working hours. 🔹 NOT SURE WHERE TO START? If you have an idea but aren't sure it's feasible — or a board that's misbehaving and you don't know why — book a consultation. You'll leave with a concrete technical direction, whether or not we work together afterward.

I help individuals, startups and engineering teams bring their electronic product ideas to life — from concept to prototype, and all the way to production. With 20+ years of hands-on experience in electronics design, firmware development, PCB layout, and prototyping, I’ve delivered dozens of successful products across industries like IoT, automation, wearables, and low-power embedded systems. Why work with me? ✔️ 20+ years of engineering experience. ✔️ 140+ projects completed on Upwork (⭐⭐⭐⭐⭐ rating, Top Rated Plus). ✔️ Proven track record of reducing costs, improving reliability, and accelerating time-to-market. ✅ What I can help you with: • PCB design (2–8 layers, analog/digital/mixed-signal) • Rapid prototyping (proof of concept to field-ready units) • Low-power and battery-operated device optimization • Schematic review, BOM optimization, Gerber and production files • Integration with sensors, wireless modules, displays, etc. • Design for manufacturing (DFM), debugging, and testing support 🧰 Tools & Platforms: Autodesk Eagle, KiCAD, STM32CubeIDE, Fusion 3D and others. I work with clients globally and am comfortable adapting to your timezone and workflow. You can count on clear communication, on-time delivery, and engineering decisions grounded in experience. Let’s talk about your project and make it happen.

💡Let's transform your SaaS idea into a revenue-generating MVP in 30 days, helping you find product-market fit 3x faster and secure your first paying customers. Let's make it happen! 🏆Achievements and Happy Customers! • Rescued an Agriculture SaaS business (Itricorp) by rebuilding their failing core platform into a better version just in time to secure their market position. ➡️ "I could say what I needed, and ByteNaNa turned it into code." - Jim Etro, CEO, Itri Corporation • Partnered with a garage startup to build their entire IoT SaaS platform, scaling Watchdog Home Monitor into a successful, market-ready business. ➡️ “The team is extremely responsive and easy to speak with.” - Trey Welstad, CEO, Snowbird • Led the successful launch of a B2C SaaS (GenoStories) on the App Store & Google Play by rescuing and stabilizing its failing legacy codebase. ➡️ "What impresses us most about Bytenana is their ability to deeply understand the emotional purpose behind our product." - Alba D Reboyras, Co-Founder, Genostories Inc • Engineered a mission-critical Industrial IoT SaaS for the mining sector, enabling predictive maintenance and significantly reducing costly operational downtime. ➡️ "They listen to the problem and deliver software that works at a fair cost." - James Trace, CEO, Multotec • Developed a custom content automation SaaS that saved us the full cost of a dedicated social media employee every month. ➡️ "Bytenana is the best place to work!" - Bytenana Team (It is true! People love working here.) 🧠Consultants first, developers second. We work side-by-side with founders, CTOs, and operations leads to solve real business problems — not just ship code. 🧐🧐🧐🧐 Hey, no need to believe us, check the verified reviews from our customers and also demo videos in the portfolio below. (I mean, our faces are there, can't make that up!) 😌😌😌😌 ------------------------------------------------------------------------ ⚙️Our Tool Box 🤖 AI TECHS LangChain | n8n | Make | OpenAI/GPT-4 and other models | Pinecone | Supabase | RAG | AI systems | Lovable.ai | Cursor.ai | Aider → Sales Pipeline and Follow-up Automation • Deep Personalization Cold Outreach System • Proposal Automation System • AI-Powered Content Creation for Social Media Lead Generation • SEO AI Content Producers • Recruiting and Candidate Screening Automation • AI Chatbot 🔍 Context Engineering - deep requirement elicitation with AI-powered discovery sessions eliminate guesswork and ensure pixel-perfect delivery and fast prototyping. 🌐 Frontend & Visualization Mapbox GL | React | JavaScript | PowerBI | Tableau | Superset → Interactive maps • Real-time dashboards • Mobile-responsive UIs 🗄️ Backend & Databases PostGIS/PostgreSQL | GeoServer | Node.js | Express | GeoDjango | Java Spring | Next.js | N8N | Swagger → Spatial query optimization • Feature services • High-concurrency APIs 📶 Data Engineering Python | Geopandas | Shapely | Scrapy | Selenium | BeautifulSoup | ADF | Microsoft Fabric | Spark | Mage.ai | Apache Airflow | AirByte | Databricks | Snowflake | Pub/Sub | CDC | Prefect | DBT | Amazon Glue | Kafka | Oracle | Postman → Parcel/zoning extraction • ETL automation • Geometry processing • Stream processing • Reporting • Data integration • Data migration • Observability • Data Governance • Storage ☁️ Cloud Infrastructure AWS (Lambda, S3, RDS) | GCP | Docker | Kubernetes | Serverless | Azure | CloudFlare | → Scalable pipelines • Cost-optimized architecture • CI/CD deployment 🗺️ Spatial Intelligence QGIS | GDAL | Turf.js | Leaflet | Geocoding | Open Street Maps OSM | Google APIs | OGR → Suitability analysis • Geoprocessing