Hire the Best Firmware Engineers

I build production systems that survive contact with the real world, not just the demo. Firmware, infrastructure, and the AI on top. The whole stack, not one slice of it. Most engineers pick an altitude and stay there: the app layer, or the model, or the hardware. My edge is that I don't. The hard problems always cross those lines, and I can hold the entire system in my head and make every layer work together. That range is the job. I stick around until it works, and after. If any of this sounds like you, we'll probably work well together. "We're bringing up new hardware and we need firmware from someone who protects the architecture, not just someone who makes it compile." Close to my best work. A client recently called my embedded work a masterclass. Not because the firmware ran, but because I caught the architectural risks before they reached manufacturing. "We keep scaling by throwing servers at the problem instead of finding the real bottleneck." Usually it isn't a capacity limit. It's one bad assumption. I've built fleet platforms running up to 25,000 machines and traced "we need more hardware" straight back to a single line of logic. "We shipped an AI feature that crushed the demo and fell apart in production." I build the system around the model, not just the model. Pipelines, guardrails, failure handling, the parts that decide whether it holds up under real traffic. I once pulled a legal-document AI from 44% to 95% accuracy in five days by fixing everything except the model. "Something is broken deep in the system and nobody can find it." This is what I'm best at. The bug is almost never where everyone's looking. I find the actual cause, not the convenient suspect. A few things that are true about working with me. You talk to me. Not an account manager, not a junior doing the real work while someone senior closed the sale. I'll tell you when your problem needs a smaller solution than you're picturing, even when the honest answer costs me the bigger invoice. Not everything needs AI, and I'll say so. I build the boring reliable version when that's right and the model-heavy version when it isn't. I've built for defense, medical devices, industrial automation, fintech, and early-stage startups. Different industries, one skill: Making things work where failure actually costs something. Recent work: -Embedded firmware architecture for a new hardware bring-up on Ambiq Apollo510B. The client called it a masterclass in embedded engineering. -A speech-to-command system for a tactical drone. 95.7% accuracy at 22ms, fully offline on edge hardware. -A server fleet monitoring platform managing up to 25,000 machines at once. -A legal-document AI rebuilt to know when it's actually unsure. Accuracy went from 44% to 95% in five days. -A factory-floor alarm system that was crying wolf. Cut false positives by 41%. Tell me what you're building or what's broken. You'll get a straight answer, not a sales pitch.

I'm Gabriel, an electronics engineer and co-founder of Mateware, an electronics product development studio based in Argentina. I specialize in embedded systems and firmware, and I take products end-to-end — from the first idea to a manufacturing-ready device. As part of Mateware, I work alongside a multidisciplinary team of electronics engineers, embedded developers, and PCB and industrial designers. Together we cover the full product lifecycle, so clients build with a single technical partner instead of coordinating multiple vendors. We have our own hardware lab, which lets us prototype and validate quickly and reduce development risk. What we do at Mateware: Embedded firmware in C/C++ (bare-metal and RTOS — FreeRTOS, ESP-IDF, Zephyr) and embedded Linux PCB design, from simple boards to complex high-speed multilayer Power electronics and battery-powered devices IoT connectivity: Wi-Fi, Bluetooth/BLE, LoRa/LoRaWAN, cellular, Ethernet and custom RF protocols Custom sensors and precision instrumentation Industrial and mechanical design: enclosures, DFM, 3D printing and injection molding Complex reverse engineering and improvement of existing equipment Industrial IoT: real-time monitoring, dashboards, cloud and remote control (through MoTI, our own product) A few things we've built: A US-patented sports-tech wearable (smart LED training vests) engineered end-to-end, now entering production Train-detection and platform-door control electronics running every day on a city's light-rail public transit MoTI, our industrial monitoring and telemetry system — winner of a national Industry 4.0 startup award 90+ medical-grade IoT telemetry units deployed nationwide Background: I'm an Electronics Engineer (UTN) with 5+ years in embedded systems, and founder of The Mars Society Argentina. I value clear, honest communication with no time-zone or language barriers. If you have an idea that needs to become real hardware — or a product that needs an experienced engineering team behind it — let's talk.

Most embedded projects run into delays when hardware, PCB, and firmware are split across different engineers — more handoffs mean more miscommunication and longer timelines. I handle all three in one place — STM32-based circuit design, KiCad PCB artwork, and firmware development. I've designed and manufactured STM32F7/H7 CPU boards from scratch, verified them with an oscilloscope after fabrication, and they've been running continuously for over 4 months without failure. For complex multilayer work, I've completed an 8-layer BGA PCB artwork based on the FoxBMS2 open-source design. I've also ported FreeRTOS and NuttX RTOS, and developed peripheral control firmware covering UART, I2C, SPI, ADC, and GPIO. If you need a prototype or a custom embedded solution, feel free to reach out.

I’m an Embedded Systems Engineer specializing in Firmware development, with nearly 10 years of experience in the field. I have extensive experience with the following microcontroller families: PIC16F/18F, STM32 and other ARM Cortex-based MCUs, ATmega, ATtiny, SAMD—and most recently, the ESP32 family for IoT devices. 1️⃣My strongest skill is an in-depth knowledge of MCU internal architecture and operating principles: ⚡Memory organization, ⚡Instruction sets and execution, ⚡Device configuration, ⚡Watchdogs, ⚡Interrupt services (including multiple-interrupt handling), and ⚡Peripheral management. I’ve worked with virtually all standard peripherals found on modern MCUs— 🚀 Precise Timer usage; 🚀 PWM drivers; 🚀 Capture-Compare units; 🚀 ADCs; DACs; and 🚀 Serial Communications (I²C, SPI, USART, I²S). Less common peripherals I’ve tackled include the STM32 🔹AES encryption accelerator; the PIC16F’s 🔹NCO and 🔹logic-gate features; the PIC18F 🔹USB module; and the ESP32’s 🔹PDM and 🔹I²S interfaces and various other specialized modules. ➡️This deep understanding of MCU internals lets me write high-quality code with very few bugs from the outset, and it makes debugging far faster in later development stages. 2️⃣Hardware integration I deliver seamless, efficient hardware integration for: 🔹Sensors (analog and digital: temperature, humidity, light, voltage) using SPI, I²C, 1-Wire, USART, etc. 🔹Input devices from simple buttons, keypads, potentiometers, and rotary encoders to touchpads and sliders. 🔹Output devices including LCDs (various sizes), OLEDs, addressable LEDs, 7-segment displays, touchscreens, and more. I go beyond plain text and primitives, 🎨crafting eye-catching UIs with attractive fonts, colors, images, and animations whenever possible. 3️⃣I can develop—and maintain—a complete embedded-system firmware from start to finish, ensuring it’s easily maintainable by future engineers. When your embedded system is part of a larger ecosystem (e.g., IoT devices or desktop/mobile-controlled systems), I’ve implemented higher-level protocols like USB, Bluetooth/BLE, HTTP, and MQTT. I write clean, well-documented firmware APIs that integrate effortlessly into any larger system. 4️⃣An invaluable skill I bring is the ability to emulate missing peripherals entirely in software—avoiding the time, cost, and chaos of a board redesign. When hardware truly falls short, I step in to replicate its functionality in firmware, keeping development on schedule and often yielding more flexible, upgradable solutions. Of course, this isn’t a cure-all: some features simply demand a hardware revision. 5️⃣When required, I code “close to the metal” in low-level C or even Assembly. I’ve worked on legacy chips (e.g., Intel 8051 and 6502 derivatives) where assembly-only firmware was essential. 6️⃣Circuit and PCB design Although my primary focus is firmware, I hold an electronics engineering degree and am proficient at reading schematics. I collaborate smoothly with hardware designers and can propose elementary hardware solutions when needed. 7️⃣I’m a thorough researcher who always studies documentation carefully before drawing conclusions. While this can slow initial progress, it pays off with faster, more reliable development later on. 8️⃣Other skills and interests Windows desktop app development (WinForms) Web scraping (I’ve built sports-results scrapers) Retro game development (I’ve completed a SNES game) You can find many of my projects—console utilities, ASCII-art games, web scrapers, and more—on my GitHub page. Thanks for visiting my profile!

Hi! I am Dr. Shahb Niazi, a PhD-qualified Electrical Engineer with over 24 years of experience specializing in embedded systems, PCB design, hardware design, and advanced R&D. As a Senior Consultant and Project Leader at CARE (Center Of Advanced Robotics and Embedded system), I lead a highly skilled team of engineers and researchers, driving innovation across a diverse range of industries. Our core expertise lies in embedded systems development, advanced PCB design, and industrial automation. From real-time firmware for microcontrollers to high-speed, multi-layer PCB layouts, we deliver hardware-software solutions optimized for precision, performance, and reliability. With deep experience in automation protocols, sensor integration, and control systems, we build intelligent, production-ready electronics tailored for industrial, commercial, and custom applications. we provide optimized embedded and IoT solutions engineered for high performance, low power, and full compliance with industry standards. Our designs ensure reliable integration, EMI/EMC robustness, and scalable architectures for real-world industrial needs. By reducing time-to-market and enhancing system efficiency, we can help clients stay competitive in demanding tech environments.

AI can move a project forward fast. It can also create architecture nobody trusts, firmware that almost works, security holes no one noticed, ML models that don’t survive real data, and prototypes that fail the moment they touch real hardware. That is where I create the most value. I help founders, inventors, and technical teams use AI aggressively without letting AI-generated mistakes turn into expensive engineering debt. If you are already using ChatGPT, Claude, Cursor, Codex, Replit, Lovable, or other AI tools, but your project is getting stuck because the output is brittle, insecure, poorly specified, hard to validate, or disconnected from real-world constraints, I can help. Think of me as an AI engineering whisperer: someone who understands both the power of AI and the engineering realities that AI often misses. My strongest fit is not commodity implementation. If your project is fully specified and just needs code written, there are many lower-cost options on Upwork. My value is highest when the system is ambiguous, partially built, AI-generated, technically risky, or crossing the boundary between software, hardware, firmware, data, ML, and operations. I help answer questions like: ▸ Is this AI-generated architecture actually safe to build on? ▸ Will this prototype survive real users, real hardware, real timing, and real edge cases? ▸ Are there hidden security, reliability, integration, or model-validation risks? ▸ What should be rebuilt, what should be kept, and what should be tested first? ▸ How do we turn a promising AI-assisted prototype into a real engineering system? MY WORK TYPICALLY FALLS INTO FOUR AREAS: AI ENGINEERING RESCUE ▸ Review AI-generated code, architecture, workflows, and product plans ▸ Identify brittle assumptions, missing tests, security gaps, and failure modes ▸ Turn prototype chaos into a coherent technical path REAL-WORLD SYSTEM ARCHITECTURE ▸ Design systems that work beyond the demo ▸ Bridge AI, software, hardware, firmware, sensors, wireless links, and operations ▸ Translate unclear product ideas into buildable technical specifications APPLIED ML & DECISION SYSTEMS ▸ Build and validate machine-learning models for noisy, real-world decision environments ▸ Work with time-series data, feature engineering, model evaluation, and out-of-sample testing ▸ Identify leakage, overfitting, regime-change problems, and weak validation methods ▸ Develop ML systems where bad assumptions create real financial or operational consequences EMBEDDED, IOT & HARDWARE-AWARE DEVELOPMENT ▸ Firmware, PCB, sensor, wireless, and real-time system review ▸ STM32, ESP32, Raspberry Pi, BLE, cellular, IoT, industrial, and prototype systems ▸ Debug issues where software assumptions collide with hardware reality I have taken numerous products from concept to production, including embedded systems, IoT devices, industrial controls, data systems, automation tools, and AI-enabled workflows. I also build applied ML models for noisy, high-stakes decision environments, including financial market models that I use in my own trading. That work demands strict leakage control, disciplined feature engineering, out-of-sample validation, model-failure analysis, and constant attention to whether a signal is real or just noise. My background includes MSEE-level engineering training, decades of hands-on product development, and extensive practical use of LLMs, agentic AI workflows, and applied machine learning. Most AI consultants do not understand hardware. Most hardware engineers underuse AI. Most ML prototypes are not tested hard enough against real-world failure modes. I bridge those gaps. Best fit for: ▸ Founders building AI-assisted products ▸ Teams with prototypes that work in demos but not in the real world ▸ Companies using AI-generated code and needing review, hardening, or architecture cleanup ▸ Teams building ML, forecasting, automation, or decision-support systems ▸ Embedded, IoT, robotics, sensor, wireless, or firmware projects where AI alone is not enough ▸ Inventors who need a senior technical reality check before spending serious money The value I bring is practical technical judgment. I help you move faster without fooling yourself. A short review can often prevent weeks or months of wrong-direction development. Relevant technical areas: Embedded systems • AI/ML systems • LLM workflows • Agentic AI • System architecture • Applied machine learning • Time-series modeling • Forecasting • IoT • Firmware • PCB design • STM32 • ESP32 • Raspberry Pi • BLE • Cellular IoT • Real-time systems • Sensors • Wireless systems • Product development • Prototyping • Manufacturing readiness • Security review • Automation • Data pipelines • Python • C/C++