I am a fourth-year Control Systems Engineering student specializing in robotics, embedded systems, and industrial automation. My coursework and hands-on projects have provided me with a strong foundation in control algorithm design (PID, SMC, Fuzzy), microcontroller programming (ESP32, STM32), and computer vision with OpenCV. Key projects include developing SIL/HIL simulations for a two-joint robot manipulator, engineering a smart robotic grasping system with adaptive force control, and building a high-frequency derivatives trading system for a 24-hour hackathon. 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!
Impact: Delivered complete adaptive force control system in 24 hours
Tech: XMC4700, Fuzzy Logic, PID Control, Real-time Force Sensing
Metrics: 95% grasp success rate across 5 different object types, recognised for best technical solution.
π¦Ύ Two-Joint Robot Manipulator Control | Nov 2024 | π 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: <2Β° 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
π₯ Machine Learning Diabetes Prediction | Nov 2023 | π 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
π Bare-Metal Modbus Protocol Implementation | Apr 2024 | π 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 | π₯ EESTEC Challenge Local Round Winner | Engineering innovation competition |
| 2025 | π Altium PCB Design Certified | Professional PCB design skills |
| 2024 | π€ NVIDIA Deep Learning Certified | AI/ML technical competency |
| 2023 | π₯ Origin's EV Case Study Winner | Electric vehicle systems innovation |
| 2022-23 | π₯ HR Team Lead, EESTEC LC Novi Sad | Led 20+ member HR team |
B.S. Control Systems Engineering | Faculty of Technical Sciences, Novi Sad | Expected 2025
GPA: 9.1/10 | Relevant: Robotics, Embedded Systems, Industrial Automation, Machine Learning
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
π Seeking internships, research opportunities, and collaborative projects | π Open to learning and growth
β From [Grkila](https://github.com/Grkila) | Exploring the Future of Automation, One Project at a Time π€