Dmitro S.
Rating
Language proficiency level
CV
Technical Lead and System Architect for mission-critical embedded and communications infrastructure deployed under real operational field conditions.
Scope of work:
- Design and deployment of distributed autonomous systems with high-reliability requirements (99.9%+ operational uptime)
- Power management system architecture: autonomous operation, battery life optimization, failover logic
- Firmware and hardware integration for real-time embedded systems (bare-metal + RTOS-based, C/C++)
- Security architecture: cryptographic protocol implementation, authentication systems, encrypted communications
- Reverse engineering and protocol analysis of proprietary systems for integration and reliability analysis
- Technology transfer and large-scale replication: trained and certified 500+ engineers on developed systems and architectures
- Full delivery cycle: from hardware constraints → firmware → system integration → field deployment → monitoring
Stack:
Embedded & Systems:
C/C++, FreeRTOS, STM32/ARM, Linux, MCU/SBC, Device Drivers, Secure Boot
RF & Communications:
RF Engineering, SDR, LoRa, LTE, BLE/BLE GATT, RS485/CAN/LIN, Modbus
Robotics & UAV:
UAV/Swarm systems, FPV drones, VTOL engineering, ROS, Visual Servoing
Radar & EW:
FMCW Radar, Electronic Warfare, RF Security, Jamming Theory, CRPA Antennas, HPM/EMI
AI & Autonomy:
AI Agents, AI Automation, AI targeting/guidance, Signal Processing
Cloud & Software: Python, Node.js, Go, REST API, Redis, Docker, CI/CD, GCloud, DevOps
Hardware:
PCB Design, RF Design, Hardware Hacking, BMS Design
Leadership:
Systems Design, Engineering Management, Product Management, Technical Specifications
Skills and abilities
Programming
Photo, Audio & Video
Architecture
Mobile development
Portfolio
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Vision chip for UAV/FPV computer vision
AI & Machine LearningCONCEPT: WETWARE UAV CONTROLLER
A biohybrid control system for UAVs based on cultivated neural networks in vitro. Living tissue on a multi-electrode array (MEA) is trained through closed-loop stimulation to solve navigation tasks with higher sample efficiency than classical RL algorithms. The drone's sensory data is translated into electrical stimuli, and the neural response is decoded into control commands. The proof-of-concept adapts the DishBrain approach for real-time autonomous systems.
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Acoustic detection of FPV drones by azimuth offline
Embedded Systems & Microcontrollersstreaming acoustic chamber on MEMS microphones
Multimicrophone system of passive detection of Shahed/FPV through beamforming analysis of acoustic signatures. Array of MEMS microphones with edge ML classification on SBC cluster. Fusion with RF/SDR and CV modules for increased accuracy. Open-source stack. range ~500m, real-time visualization through heatmap overlay.
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Swarm systems DECENTRALIZED SYSTEM OF AUTONOMOUS COORDINATION
Embedded Systems & MicrocontrollersUAV/Swarm systems, FPV drones
System concept
Software-hardware complex for creating autonomous groups (swarms) of unmanned aerial vehicles or ground sensors capable of performing observation and target designation tasks without constant communication with the control center, without GPS, and in conditions of active electronic countermeasures.
The system is based on the principle of distributed logic: each unit independently analyzes the situation and exchanges only critical data with neighbors, forming a unified information field.
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Adaptation of the Tesla autopilot to Ukrainian traffic rules
Web ProgrammingAdaptation of the Tesla autopilot to Ukrainian traffic rules
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Maps of electric gas stations Ukraine inside Tesla navigator
Embedded Systems & MicrocontrollersMaps of electric gas stations of Ukraine inside the Tesla navigator MCU+AutoPilot
Activity
| Latest proposals 2 | Budget | Added | Deadlines | Proposal | |
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Perri pixel
9 USD
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Facebook. Получение из приложения идентификаторов авторизованных РА
51 USD
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