ADAS & AI Researcher
Hi, I'm Javad Ibrahimli
Electronics & Communication Engineering student specializing in autonomous systems and computer vision. Developing next-generation ADAS technologies through deep learning, sensor fusion, and robotics solutions.
Computer Vision
Autonomous Driving
Robotics
Deep Learning
Sensor Fusion
Education
Istanbul Technical University
Istanbul, Turkey
Bachelor of Engineering
Electronics and Communication Engineering (ECE)
Courses & Activities
- Courses: Digital Signal Processing, Data Communication, Wireless/Mobile Communication, Analog/Digital Communication, Data Structures and Algorithms, Artificial Neural Networks, Machine Learning for Signal Processing, Signal Processing, Probability and Statistics, Electronic Circuits
- Activities and societies: ITU Solar Car Team | ITU Chess Club | ITU Fitness | ITU Tennis
Experience
Divit Teknoloji A.Ş.
Computer Vision Engineer
Part-time | Sep 2024 - Present · 4 mos
Computer Vision Intern
Jul 2024 - Aug 2024 · 2 mos
- Software Development: Developed and deployed an On-Shelf Availability (OSA) computer vision application using AI models, including CNN and YOLO, for real-time image recognition, enhancing inventory management.
- Created and optimized mobile applications with React Native, integrating OSA AI models for seamless on-device processing and real-time decision-making.
- Leveraged Python and TensorFlow for deep learning tasks, focusing on improving OSA model accuracy and efficiency.
- System Optimization: Enhanced the OSA model's accuracy through hyperparameter tuning and parallel processing, ensuring more reliable inventory tracking.
- Implemented encryption protocols to secure OSA data transmission.
- Conducted load and stress testing to ensure the stability and responsiveness of the OSA application.
- Testing and Validation: Executed cross-platform testing for mobile applications and OSA AI models, ensuring consistent performance.
- Analyzed test results to optimize system efficiency and mitigate bottlenecks.
- Collaborated with teams to meet stringent security and performance standards.
- Documentation and Reporting: Managed code versioning with Bitbucket, adhering to semantic versioning for organized development.
- Prepared technical documentation on system architecture, AI integration, and API interactions, ensuring smooth handover and scalability.
- Reported on project milestones and highlighted the OSA app's role in driving a 12% growth in sales and a 10% improvement in economic efficiency.
Leo Drive
Autonomous Driving Intern
- Software Development and Localization: Contributed to the improvement of localization systems in challenging environments such as tunnels, utilizing sensor fusion techniques with LiDAR, IMU, and odometry data.
- Enhanced real-time position tracking and map comparison capabilities for autonomous navigation.
- Assisted in refining a data pipeline that processed complex geospatial information, enabling efficient GNSS data transformation and visualization within autonomous vehicle systems.
ITU ZES Solar Car Team
Autonomous Systems Group Member
- Software Development: Designed and developed software modules for autonomous driving systems, including perception, planning, and control.
- Implemented algorithms for object detection, localization, mapping, and path planning.
- Utilized programming languages such as C++, Python, and ROS (Robot Operating System) for software development.
- Collaborated with the software team to integrate autonomous driving software with other vehicle systems.
- System Integration: Integrated sensors, actuators, and computing hardware into the vehicle's architecture.
- Configured and calibrated sensors, such as LiDAR, cameras, and GPS, to ensure accurate data acquisition.
- Collaborated with electrical and mechanical team members to ensure seamless integration of autonomous systems with the overall vehicle design.
- Testing and Validation: Conducted rigorous testing of autonomous driving systems, both in simulation and real-world scenarios.
- Analyzed and interpreted test results to identify areas for improvement and optimization.
- Worked closely with the safety team to ensure compliance with safety standards and regulations.
- Documentation and Reporting: Maintained comprehensive documentation of software design, system architecture, and testing procedures.
- Prepared regular progress reports and presented findings to the team and faculty advisors.
- Contributed to technical publications and presented research outcomes at conferences or competitions.
World Coffee Portal
Data Analyst Researcher
- Software Development: Collecting and recording beverage prices of the most popular types (filter coffee, cappuccino, and latte) from branded coffee chains across Istanbul.
- Ensuring that the data collected is accurate and up-to-date, and that all relevant details (e.g. location, chain name) are recorded.
- Analyzing the data collected to determine the average beverage prices for each branded coffee chain across Istanbul.
- Ensuring that all work is completed in a timely and efficient manner, and that deadlines are met.
Istanbul Technical University
Student Assistant
- Software Development: Updating the files shared by the professor, ensuring that the most recent and relevant materials were available for the students.
- Adding coding assignments to in-class files and GitHub, providing students with the opportunity to practice and apply the concepts they were learning.
- Updating the course slides, ensuring that they were accurate and up-to-date with the latest information and industry developments.
- Regulating technical tasks such as setting up equipment, troubleshooting technical issues and making sure that the course runs smoothly.
UpWork
Freelance Programmer
- Software Development: Completed the software tasks requested by the customers within the given time.
- Automated and optimized the data handling process for traffic signs, working with Ubuntu 20.04, did shell scripting, and employed other Linux tools.
- Technical Skills: Python with PyTorch, NumPy, Matplotlib, Pandas, Scikit‑learn, Tableau, Ubuntu Linux, Linux tools, Apt, Scripting, Git.
- Automated and optimized the data handling process for traffic signs, working with Ubuntu 20.04, did shell scripting, and employed other Linux tools.
Recent Projects
Completed
Road Line Detection
Implementation of a road line detection system using computer vision techniques. The project processes video input to identify and highlight lane lines, essential for autonomous driving applications.
Completed
Advanced Lane Detection
Advanced implementation of lane detection using computer vision and deep learning techniques. Features robust detection under varying conditions.
Skills
Contribution Activity
GitHub Statistics
Achievements and Test Scores
Competitions
- Teknofest Robotaxi‑Full Scale Autonomous Vehicle Competition Finalist, Teknofest, Istanbul, Turkey.
- Chosen participant of Cyber Take Off 2023, Turkish Technology, Istanbul, Turkey.
- The only vehicle that can complete the race by getting full points, Teknofest, Istanbul, Turkey.
- Winner - Azerbaijan Student Informatics Olympics
- The participant of the final stage of the 1st Logic Olympiad named after Lotfi Zadeh, Baku, Azerbaijan.
Test Scores
- IELTS: 8.0/9.0 (International English Language Testing System)
- SAT: 1410/1600 (Scholastic Aptitude Test)
- Turkish Proficiency: C1 Level
Courses Taken
Ongoing
Deep Learning for Computer Vision
Learning algorithms, neural network architectures, and practical engineering tricks for training and fine-tuning networks for visual recognition tasks.
EECS 498.008
University of Michigan
June 2024 - Present
Ongoing
Sensor Fusion Nanodegree Program
The fundamentals of sensor fusion and perception for self-driving cars, covering lidar, radar, cameras, Kalman filters, and real-world data handling techniques.
Istanbul Technical University
May 2024 - Present
Completed
Machine Learning for Signal Processing
Techniques and methods for applying machine learning to signal processing problems.
EHB 328E
Istanbul Technical University
January 2023 - June 2024
Completed
Self Driving Car Engineer Nanodegree
Comprehensive training in autonomous vehicle technologies, covering computer vision, sensor fusion, localization, path planning, and control.
Udacity
September 2023 - February 2024
Completed
Artificial Neural Networks
Exploration of neural network architectures, training algorithms, and applications in machine learning.
EHB 420E
Istanbul Technical University
January 2024 - June 2024
Languages
English - Advanced
Russian - Intermediate
Turkish - Native
Azerbaijani - Native
Hobbies & Interests
Chess
Enhancing strategic thinking through competitive chess matches and daily puzzles.
Reading
Exploring science fiction and technology literature to stay inspired and informed.
Traveling
Discovering new cultures and broadening perspectives through global exploration.
Football
Building teamwork skills and staying active through regular football matches.
Judo
Maintaining physical fitness and mental discipline through martial arts practice.
Contact Me
My inbox is always open; glad to connect, discuss, and collaborate. Could relate to work, volunteering, or a casual talk! Feel free to shoot me an email; will get back ASAP!
Copyrights © Javad Ibrahimli / Last update 2024