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My name is KAVEH S. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Computer Vision, Machine Learning Algorithm, Python, Image Processing, NVIDIA Jetson, etc.. I hold a degree in Master of Science (MS), Bachelor of Science (BS). Some of the notable projects I’ve worked on include: Simulation of a Mobile Robot for Navigating and 3D Mapping, Live Object Tracking with Pan-Tilt Mechanism, Auto Balance System, IOT Zigbee/BLE Module - STM32WB55, Smart Plug - ESP32C6. I am based in Denizli, Turkey. I've successfully completed 5 projects while developing at Softaims.
I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.
My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.
My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.
Main technologies
AI, Robotics and Computer Vision Platforms
3 years
Computer Vision
1 Year
Machine Learning Algorithm
2 Years
Python
2 Years
Additional skills
- Computer Vision
- Machine Learning Algorithm
- Python
- Image Processing
- NVIDIA Jetson
- Object Tracking
- Robotics
- Artificial Intelligence
- Robot Operating System
- Docker
- Altium Designer
- STM32
- ESP32
- Raspberry Pi
- Engineering Simulation
Direct hire
Potentially possible
Previous Company
ASELSAN
Experience Highlights
Simulation of a Mobile Robot for Navigating and 3D Mapping
The project focused on creating a 3D mapping simulation by utilizing a mobile robot within the Gazebo simulator. This was achieved using the Robot Operating System (ROS) and the RTAB-Map algorithm for real-time 3D mapping and localization. However, the outcomes were less than ideal because the host computer's hardware was not powerful enough to handle the computational demands of the simulation effectively. This limitation impacted the overall performance and accuracy of the 3D mapping results.
Live Object Tracking with Pan-Tilt Mechanism
This project showcases a dynamic and responsive live object tracking system using a pan-tilt mechanism, integrating real-time computer vision and embedded control systems. The primary objective is to develop a robust solution capable of continuously tracking a moving object within its field of view, maintaining it at the center of the camera frame. Applications: -Security and surveillance systems for continuous monitoring of specific areas or objects. -Robotics and automation for dynamic interaction with moving objects. -Live streaming and broadcasting for sports or wildlife tracking.
Auto Balance System
The "Auto Balance System for a Tea Plucking Robot" project focuses on developing a stabilization mechanism for autonomous tea harvesting. The system uses advanced sensors and control algorithms to maintain balance on uneven terrains, ensuring efficient and precise plucking. By integrating mechatronics, robotics, and agricultural engineering, it improves productivity and reduces plant damage. This innovative project won second place in Turkey's National Agricultural Technologies competition, highlighting its potential to transform agricultural practices.
IOT Zigbee/BLE Module - STM32WB55
I designed this module using the STM32 chip, enabling simultaneous communication via BLE and Zigbee. The main features include: -Cost-Effective PCB Antenna: Integrated for affordability and efficiency. -External Antenna Socket: Option for enhanced signal strength and range. -USB-C Plug: Supports both power and data transfer, ensuring modern connectivity. -Compact Size: Ultra-small dimensions of 15 x 33 mm, ideal for space-constrained applications. -Versatile GPIO: Flexible General Purpose Input/Output pins for diverse interfacing needs.
Smart Plug - ESP32C6
I designed an advanced smart plug PCB using Altium Designer, incorporating key features to enhance functionality and usability. This smart plug includes: -Voltage and Current Measurement: Equipped with high-precision sensors for accurate real-time energy monitoring. -Multi-Protocol Communication: Supports Wi-Fi, Bluetooth Low Energy (BLE), and Zigbee, ensuring versatile connectivity options. -Wide Voltage Range Compatibility: Operates efficiently with both 100VAC and 240VAC power supplies, making it suitable for global use. This project highlights my expertise in PCB design.
Education
Pamukkale Üniversitesi
Master of Science (MS) in Mechatronics Engineering
2022-01-01-2024-01-01
Pamukkale Üniversitesi
Bachelor of Science (BS) in Mechatronics Engineering
2018-01-01-2022-01-01
Languages
- English
- Persian
- Turkish
Github