Daniel is a Software and Embedded Systems Developer with 3+ years of professional experience developing and integrating production systems, supported by a long-standing personal interest in computer science, electronics, and automation.
His professional experience includes Embedded C/C++, Embedded Linux, BLE, IoT, TinyML, hardware/software integration, system development, and CI/CD automation. Through years of hands-on personal projects, he has also built practical expertise in computer vision, LLM infrastructure, agentic AI, multi-agent orchestration, and AI-assisted software development.
Daniel enjoys working across the full hardware-software stack, from electronics and component selection to low-level firmware, Linux-based gateways, connectivity, AI infrastructure, automation, testing, and deployment. This combination of professional engineering experience and long-term hands-on experimentation allows him to approach complex technical problems from both a systems and implementation perspective.
| Languages | Experience | Rating | Last used |
|---|---|---|---|
| C | 4 years | 4 | 2026 |
| C++ | 4 years | 4 | 2026 |
| Rust | 1 years | 3 | 2026 |
| Python | 5 years | 4 | 2026 |
| Javascript | 1 years | 3 | 2025 |
| HTML | 4 years | 3 | 2025 |
| CSS | 2 years | 3 | 2025 |
| Go | 2 years | 3 | 2022 |
| Java | 1 years | 2 | 2025 |
| SQL | 1 years | 3 | 2025 |
| Tool | Experience | Rating | Last used |
|---|---|---|---|
| STM32CubeIDE | 2 years | 5 | 2026 |
| Visual Studio Code | 7 years | 5 | 2026 |
| Tensorflow | 3 years | 4 | 2026 |
| Keras | 1 years | 4 | 2026 |
| Segger J-Link | 5 years | 4 | 2026 |
| ST-Link | 3 years | 4 | 2026 |
| PlatformIO | 3 years | 4 | 2025 |
| Arduino | 6 years | 5 | 2026 |
| Amazon AWS | 2 years | 4 | 2025 |
| Git | 5 years | 4 | 2026 |
| GitLab | 2 years | 4 | 2026 |
| Raspberry Pi | 7 years | 5 | 2025 |
| Adobe After Effects | 5 years | 3 | 2022 |
| Adobe Premiere Pro | 5 years | 3 | 2022 |
| Adobe Photoshop | 5 years | 3 | 2022 |
| Docker | 3 years | 5 | 2026 |
| Wireshark | 2 years | 4 | 2025 |
| Trello | 3 years | 4 | 2025 |
| Node-RED | 3 years | 4 | 2025 |
| OpenAI Codex | 1 years | 5 | 2026 |
| Claude Code | 2 years | 5 | 2026 |
| Github Copilot | 2 years | 5 | 2026 |
| vLLM | 2 years | 5 | 2026 |
| SGlang | 1 years | 4 | 2026 |
| Portainer | 2 years | 4 | 2026 |
| Tailscale | 3 years | 4 | 2026 |
| Wireguard | 2 years | 4 | 2026 |
| GitHub Actions | 1 years | 4 | 2026 |
| Tool | Experience | Rating | Last used |
|---|---|---|---|
| TinyML | 2 years | 5 | 2026 |
| Tensorflow | 3 years | 4 | 2026 |
| Agile | 4 years | 4 | 2026 |
| Artificial Intelligence | 3 years | 5 | 2026 |
| CAN | 1 years | 3 | 2024 |
| Bluetooth Low Energy (BLE) | 2 years | 5 | 2024 |
| Computer vision | 5 years | 4 | 2026 |
| Design Systems | 4 years | 4 | 2025 |
| gRPC | 1 years | 3 | 2024 |
| Kubernetes | 2 years | 4 | 2025 |
| Linux | 15 years | 4 | 2026 |
| Nginx | 3 years | 3 | 2025 |
| PCB Design | 2 years | 3 | 2026 |
| Prototyping | 16 years | 5 | 2026 |
| REST API | 2 years | 3 | 2026 |
| OpenCV | 1 years | 3 | 2024 |
| Electronics | 10 years | 4 | 2026 |
| TinyML | 3 years | 5 | 2026 |
| RTOS | 3 years | 4 | 2026 |
| Wireless Communication | 10 years | 4 | 2026 |
| Yocto | 1 years | 3 | 2014 |
| Fusion360 | 2 years | 3 | 2026 |
| Flask | 2 years | 3 | 2025 |
| Keras | 1 years | 4 | 2026 |
| LLMs | 3 years | 5 | 2026 |
| Synology DSM | 2 years | 4 | 2026 |
| Language | Skill level |
|---|---|
| Romanian | Native speaker |
| Swedish | Highly proficient |
| English | Highly proficient |
| Italian | Basic communication skills |
| Description | Days | Year |
|---|---|---|
| SVEP Lund: CRA & CE | 0 | 2026 |
| Linux Foundation : CRA | 0 | 2026 |
| Canonical : CRA | 0 | 2026 |
| Nordic Semiconductor : Matter Fundamentals | 0 | 2026 |
| Nordic Semiconductor : Designing Low-Power Bluetooth LE Products | 0 | 2026 |
| Nordic Semiconductor : Bluetooth Low Energy | 0 | 2026 |
| Nordic Semiconductor : nRF54L Series | 0 | 2026 |
| Anthropic : AI Capabilities and Limitations | 0 | 2026 |
| HarvardX : Applied Tiny Machine Learning (TinyML) for Scale | 0 | 2026 |
| Chalmers University of Technology : Computer Systems Design for Energy Efficiency | 0 | 2026 |
| Chalmers University of Technology : Computer System Design: Advanced Concepts of Modern Microprocessors | 0 | 2026 |
| Chalmers University of Technology : Computer System Design: Concepts of Modern Microprocessors | 0 | 2026 |
| HarvardX: TinyML4: MLOps for Scale in Tiny ML | 0 | 2026 |
| HarvardX: TinyML3: Deploying TinyML | 0 | 2026 |
| HarvardX: TinyML2: Applications of TinyML | 0 | 2026 |
| Advanced Embedded Systems on Arm - Professional Certificate from ARM | 0 | 2026 |
| Functional Safety - FSE001 - IEC 61508 | 0 | 2026 |
| QP,QM,QTool - Hierarchical State Machines, FSM, Event driven architecture, OOP - Quantum Leaps | 0 | 2025 |
| MCU Custom Bootloader Development | 0 | 2025 |
| nRF Connect SDK | 0 | 2025 |
| IoT Foundations: Operating System Applications | 0 | 2024 |
| IoT Foundations: Operating Systems Fundamentals | 0 | 2024 |
| Cambridge, Massachusetts: CS50’s Understanding Technologyes | 0 | 2024 |
| Level Up: Python | 0 | 2024 |
| OpenEDG Python Institute: Programming with Python Professional Certificate | 0 | 2024 |
| Atlassian Agile Project Management Professional Certificate | 0 | 2024 |
| Agile Software Development | 0 | 2024 |
| Advanced C Programming: Optimize Performance and Efficiency | 0 | 2023 |
| Cisco CCNA (200-301) Cert Prep: 1 | 0 | 2023 |
| Fundamentals and advanced features of the Go Programming Language (Golang) | 0 | 2021 |
Operated and configured an automated pick-and-place machine using OpenPnP for PCB assembly and electronics manufacturing. Prepared and optimized component placement workflows, machine configurations, feeders, fiducials, and PCB assembly processes. Participated in electronics production activities, including PCB assembly, component handling, inspection, troubleshooting, and production support. Assisted with machine setup, calibration, process validation, and optimization to improve assembly accuracy and production reliability. Supported the transition from prototype to repeatable production processes, identifying and resolving hardware and manufacturing issues.
Designed and developed a Linux-based BLE Gateway, including system architecture, hardware/software integration, BLE communication, and gateway functionality. Participated in the selection and evaluation of hardware components, interfaces, and system architecture based on performance, reliability, connectivity, and production requirements. Developed production-grade software for BLE communication, device management, data processing, and gateway services. Integrated and validated BLE hardware and software components on Linux, including communication interfaces, services, and system-level functionality. Developed CI/CD automation for software build, testing, packaging, and deployment workflows, improving development efficiency and release consistency.
* Architected and deployed self-hosted LLM infrastructure for production-oriented AI workloads, including model serving, API integration, GPU resource management, and inference optimization. * Designed multi-agent architectures for agentic software engineering workflows, orchestrating specialized AI agents for code generation, debugging, testing, documentation, and automation. * Integrated LLM-based agents and developer tools into CI/CD pipelines to automate software production, validation, testing, and deployment workflows. * Developed automation workflows combining LLMs, agentic tools, development environments, and CI/CD infrastructure to improve engineering productivity and reduce manual effort. * Evaluated LLM models, inference frameworks, and agent orchestration approaches for reliability, tool use, scalability, and production deployment.
Custom STM32U535 + NINA‑W152 + Acconeer radar smart toilet seat PCB for medical IoT device. STM32U5 C/C++ - freeRTOS firmware with class‑based state machines, event/message passing between tasks and ISRs on an RTOS architecture. Improved radar frame acquisition pipeline (sensor → HyperRAM FIFO → Wi‑Fi upload via UART DMA to NINA‑W152) and improved reliability with watchdog, error handling and ISR masking during transmission. Developed system services: battery monitoring via ADC, RTC time/date + alarm CLI, health‑check and overtime alert flows integrated with backend API. Extended Wi‑Fi stack (open network support, robust reconnect / no‑network handling), optimized throughput and performed power profiling with STLINK‑V3PWR; prepared firmware architecture for FOTA using SBSFU(MCUBoot+TFM) + Golioth.
Embedded Device Programmer A Linux embedded device programmer with a touchscreen interface, developed in Python using Tkinter. The system integrates a J-Link programmer and supports firmware flashing from USB storage, local memory, or wireless transfer. Designed to simplify and standardize the programming process, enabling reliable device flashing by users with minimal technical expertise.
Developed applications for Axis/Hanwha cameras and other devices, including PPE detection and early fire/smoke detection.
Developed a bridge LoraWAN device as part of my bachelor’s thesis project. Enabling an Axis camera to analyze traffic flow and send metadata via Netmore. Implemented BLE–UART communication for device configuration using AT commands or a mobile app. Built on ESP32 (first iteration) and nRF52 (second version) with RadioLIB (Universal wireless communication library for embedded devices).
I designed and implemented a custom Ethernet-to-LoRaWAN smart node for secure and efficient bidirectional communication.
Implemented secure communication protocols and ensured systems met EU/NIS2 standards, applying IoT security. Designed over-the-air firmware updates (FUOTA), watchdog stability systems, and robust AT command interfaces for embedded devices. Designed APIs, dashboards, and integrations for efficient device communication and management.
Worked with Stm32,nRF,Esp32 MCUs with FW based mostly on FreeRTOS and Zephyr RTOS . Developed and designed firmware for motor control, LED drivers, sensors and actuators, IoT devices and other automation and integrations with other ecosistems.
Experimented with YOLO, MobileNet, and other deep learning models for real-time object detection and recognition. Integrated AI models from Hugging Face into Raspberry Pi and home automation projects for smart surveillance, robotics, and IoT applications.
As a freelancer, I conduct research and develop projects across embedded systems, IoT, AI, and cloud infrastructure. I manage multiple home servers for storage, web hosting, and virtual machines, experiment with Kubernetes clusters, and implement DevOps workflows. I also develop embedded prototypes, firmware, and secure communication solutions, while exploring computer vision, AI integration on Raspberry Pi, reverse engineering, and ethical hacking for IoT and embedded security.
Collaborate daily with inhouse experts on developing and delivering robust production firmware. Rapidly onboarded via knowledge transfer, participated in paired debugging and code reviews, and contributed to system reliability in a professional agile environment.
As In-house consultant, I contribute to innovative in-house research and development projects in smart cities, urban safety, and traffic management. I design and develop embedded and IoT solutions that enable smarter, connected, and data-driven environments. My work spans low-level firmware, system integration, and secure IoT connectivity, complemented by prototyping, 3D design, and proof-of-concept development. I enjoy turning complex challenges into practical, reliable, and future-proof solutions that enhance urban infrastructure and improve quality of life.
As a Network Technician, I was responsible for installing, configuring, and maintaining broadband, CATV, and Ethernet networks across multiple regions in Romania. I handled both physical infrastructure and technical configuration, ensuring reliable connectivity for residential and business customers. This role included fiber optic (FTTH), coaxial (CATV), and Ethernet cabling, configuring and troubleshooting routers, modems, and switches, and performing testing to meet performance standards. It strengthened my expertise in network infrastructure, device configuration, and troubleshooting—skills that have been invaluable in my transition to embedded systems and IoT development.
