I am an Electrical and Computer Engineering graduate (B.El.Comp.Eng. Hons) with a passion for robotics, embedded systems, and industrial automation. I recently completed my undergraduate studies with a 9.11/10 GPA (Oct 2021 - Dec 2025), specializing in mechatronics and control systems. My expertise spans the full stack of robotic development: from mechanical design (FDM 3D printing) and PCB layout to firmware (FreeRTOS, ESP32, STM32) and control algorithms (PID, Fuzzy, FFT-based signal analysis). Key projects include my thesis on an adaptive gripper with micro-vibration slip detection and SIL/HIL simulations for robot manipulators. My leadership experience as Head Organizer for EESTEC LC Novi Sad has equipped me with valuable project management and teamwork skills. I am proficient in C/C++, Python, MATLAB, and various industry-standard tools. I'm always looking for the next challenge in robotics or control systems. If you're working on something exciting in automation or just want to talk tech, feel free to connect!
Adaptive Gripper with Micro-Vibration Slip Detection | Dec 2025 | 📂 Code
Impact: Developed a novel slip detection system using micro-vibration analysis (FFT) and magnetic sensing (Thesis Project).
Tech: ESP32 (FreeRTOS), TLV493D (3D Hall), FFT Signal Analysis, Python (Telemetry), FDM 3D Printing.
Metrics: <90ms reaction time, non-destructive handling of fragile objects, robust slip detection in 40-120Hz band.
Embedded & Robotics Team Lead - NSpace (ERC 2025) | May 2025 - Aug 2025 | 📂 Code
Impact: Secured 7th place globally (Remote Formula). Architected embedded control systems and development infrastructure for a team of 10 engineers. Key Contributions:
Airlock System:[📂 Repo] Developed safety-critical C++ firmware (ESP32) with FSMs and a custom HIL Testbench (Python/GUI) to validate logic without physical hardware. Designed serial protocols for high-frequency sensor data.
Infrastructure & DevOps:[📂 Repo] Standardized dev environment using Docker (bundling ROS 2/Gazebo) to eliminate environment issues. Adjusted Gazebo simulation to match real-world rover physics and sensor noise. Deployed NVIDIA Isaac Sim on cloud infrastructure for high-performance photorealistic physics simulations.
Tech: ESP32, C++, Python, Docker, NVIDIA Isaac Sim, ROS 2, Serial Protocol
Two-Joint Robot Manipulator Control | Nov 2024 | 📂 Code
Impact: Improved robotic arm tracking precision by 25% vs standard PID
Tech: MATLAB/Simulink, LabVIEW, FPGA,Software-in-loop, Hardware-in-Loop Testing
Metrics: <2° error in trajectory tracking, 50ms response time
Impact: Managed $1M virtual portfolio, achieved 15% ROI in 24 hours
Tech: WebSocket API, Raspberry Pi, JavaScript, Derivatives Trading
Metrics: <10ms latency, processed 1000+ trades/hour
Impact: 92% accuracy in real-time parking space detection
Tech: Python, OpenCV, Flask, RESTful API
Metrics: Processes 30 FPS video stream, <100ms detection time
Machine Learning Diabetes Prediction | Nov 2023 | 📂 Code
Impact: Healthcare prediction system achieving ~90% accuracy using ensemble learning
Tech: Python, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn
Metrics: 5-fold cross-validation, F1 score optimization, comprehensive ROC analysis with multiple ensemble models
Bare-Metal Modbus Protocol Implementation | Apr 2024 | 📂 Code
Impact: Reliable industrial communication in resource-constrained embedded systems
Tech: Intel 8051, C Programming, Keil uVision, Modbus RTU, LRC Error Checking
Metrics: Supports multiple function codes (Read Coils, Holding Registers), optimized for minimal memory footprint
| Year | Achievement | Impact |
|---|---|---|
| 2025 | 7th Place Global, ERC 2025 (Remote) | Embedded & Robotics Team Lead, NSpace |
| 2025 | EESTEC Challenge Local Round Winner | Engineering innovation competition |
| 2025 | Altium PCB Design Certified | Professional PCB design skills |
| 2024 | NVIDIA Deep Learning Certified | AI/ML technical competency |
| 2023 | Origin's EV Case Study Winner | Electric vehicle systems innovation |
| 2022-23 | HR Team Lead, EESTEC LC Novi Sad | Led 20+ member HR team |
B.El.Comp.Eng. (Honours) | Faculty of Technical Sciences, Novi Sad | 2021 - 2025
GPA: 9.11/10 | Relevant: Robotics, Embedded Systems, Industrial Automation, Machine Learning, Signal Processing
Harvard CS50 | Computer Science Fundamentals | 2022
| Embedded Systems Intern | Control Systems Projects | Robotics Research | Industrial Automation |
|---|---|---|---|
| Microcontroller programming | PID/Fuzzy control design | Robot control algorithms | PLC programming basics |
| STM32/ESP32 development | MATLAB/Simulink modeling | Hardware-software integration | Industrial communication |
| Real-time systems | System identification | Sensor fusion applications | Process control learning |
Eager to apply my passion for embedded systems and control engineering in real-world projects
Seeking internships, research opportunities, and collaborative projects | Open to learning and growth
From [Grkila](https://github.com/Grkila) | Exploring the Future of Automation, One Project at a Time