Who am I?
Aspiring Computer Science student studying at Southern Utah University with experience in Machine Learning, Cybersecurity, Web Development, Robotics and Research. Passionate about continuous learning and applying acquired knowledge to drive innovation and make meaningful contributions to society. Seeking an internship opportunity in software engineering or machine learning to gain hands-on industry experience, expand professional network, and lay the groundwork for a successful career in academia and industry.
Work Experience
Software Engineer, Internship | Boingo Wireless | FEB 2025 – Present
Kubeflow
MLflow Python
JavaScript Go Node.jsReact
Docker Kubernetes
CI/CD Pipelines DevOps AWS Terraform
Teaching Assistant/Grader, Operating Systems | Southern Utah University | JAN 2025- Present
Operating Systems
Hardware Kernel
Parallel Programming
Collaborated with faculty to establish the university's first AI lab, focusing on cutting-edge research in ML, autonomous
systems, and robotics, providing mentorship to students, and participating local and national conferences such as UCUR.
Building projects with Raspberry Pi and NVIDIA Jetson Nano for real-time object detection, line-following algorithms, and
autonomous driving, enhancing practical AI applications in robotics, integrating LIDAR mapping software for autonomy
Assisted in course material development and curriculum planning, grading assignments, and providing student support.
Developed and optimized end-to-end ML pipelines, automating data ingestion, model training, and deployment using MLflow & Kubeflow.
Built CI/CD pipelines for ML models, integrating GitHub Actions & Docker to ensure seamless deployment and version control.
Led customer data analytics projects, analyzing behavioral patterns, segmentation, and predictive modeling for local businesses
Designed containerized ML applications using Docker & Kubernetes, ensuring efficient scaling and deployment.
Designed and implemented a highly accurate predictive model using ML and DL techniques to differentiate between normal
network behavior and bad network behavior (potential security threats)
Conducted comprehensive data analysis and preprocessing to cleanse, normalize, and transform network traffic data (PCAP)
into a suitable format for machine learning model training, significantly enhancing model accuracy and performance
Applied various machine learning algorithms to train and test the intrusion detection model, achieving a high degree of
precision and recall in attack classification.
Engineered a robust and efficient deep learning model, tailored for high-accuracy sign language recognition under the
supervision of a professor
Employed cutting-edge computer vision techniques to ensure real-time and effective interpretation of sign language,
enhancing user interaction with expertise in Python and OpenCV as well as a user interface for user interaction
Will co-author a research paper detailing the process and real-time translation implementation, contributing to academia
Co-founded a small national initiative with 25+ students, academicians, and industry partners focusing on AI innovations in
Machine Learning, IoT, Robotics, and Cybernetics.
Leading R&D t efforts and demonstrating proactive leadership in critical decision-making
Facilitating the establishment of an AI research center at Istanbul Technical University Technopark after getting legal approvals
Employing technical skills in programming, data analysis, and system design to advance AI project
Built reliable websites with HTML, CSS and JavaScript for better user interaction and conducted SEO to maximize traffic
Troubleshot technical issues with websites, printers, networks, operating systems, and applications
Installed, configured, and maintained computer hardware and software systems.
Developed and optimized websites using JavaScript, HTML5, and CSS3, enhancing user satisfaction by 25%
Analyzed sales data with Microsoft Power BI, identifying key trends and improvement areas
Implemented interactive web interfaces with React.js and Angular.js, boosting user engagement for key targets
Completed 4-week intensive bootcamp, followed by a hands-on internship focusing on Python & R language for data mining.
Engaged in data preprocessing and analysis using various Machine Learning and Deep Learning algorithms
Contributed to a key project aimed at detecting cancer in lung tomography images.
Developed an innovative artificial intelligence model aimed at optimizing user experiences in mobile applications
Employed advanced data analysis and machine learning techniques to accurately predict and recommend user-specific menus,
demonstrating a keen understanding of user preferences and behavior.
Developed an innovative artificial intelligence model aimed at optimizing user experiences in mobile applications
Employed advanced data analysis and machine learning techniques to accurately predict and recommend user-specific menus,
demonstrating a keen understanding of user preferences and behavior.
Successfully completed a 3-day intensive VEX Robotics Mentor Training Camp, acquiring hands-on experience
Received certification from the VEX Foundation for mentorship and technical proficiency in robotics.
After the completion of program, worked with 9th grade students to build robots and attended competitions following year
Conducted an innovative research project under university professor mentorship in a state-of-the-art facility
Developed a novel method for producing graphene oxide, leading to the synthesis of stronger carbon-based allotropes, including
Activated Carbon, Graphene Oxide, and Graphite.
Compared physical and chemical activation data, demonstrating that steam pyrolysis could yield higher quality Activated Carbon.
Spearheaded the establishment and leadership of the first FRC team in the region, setting a pioneering example
Organized and conducted educational sessions on robotics structure and coding, enhancing the technical skills of participating students.
Contributed to design and construction of two robots, incorporating image recognition algorithms for enhanced performance.
Achieved the Entrepreneurship Award (Istanbul, 2016) and Rookie Inspiration Award (New York City, 2017) for exceptional team
effort and innovative robot design.
Lab Assistant, Machine Learning & AI Lab│ Southern Utah University | AUG 2024 - PRESENT
Robotics
Deep Learning Python
Machine Learning Artificial Intelligence
Computer Vision (OpenCV) Tensorflow, Keras
Robotics & Autonomous Systems Embedded Systems Development Real-Time Object Detection
Autonomous Driving Algorithms LIDAR Mapping & Processing
Teaching Assistant / Grader, Object-Oriented Programming│Southern Utah University | AUG ‘2024 - DEC’ 2024
OOP
Python Algorithms
Java
Data Science & Machine Learning Engineer Intern | GET Software | May 2024 - Aug 2024
CI/CD
Docker Python R
Data Preprocessing Kubernetes
Keras Tensorflow
Data Preparation Statistical Data Analysis Data Science
Undergraduate Research Assistant (Intelligent Threat Detection and Response System)
Machine Learning
Deep Learning Python
Data Preprocessing Pandas
Keras Tensorflow
Scikit Learn Scapy Risk Analysis Intrusion Detection Network Security
Development of Sign Language Translator w/ Deep Learning
Machine Learning
Deep LearningPython
Data PreprocessingPandas
Keras
OpencvImage Processing
Executive Director - Turkish AI Team
Machine Learning
Deep LearningMLOpsPython
Data Preprocessing
Keras
OpencvImage ProcessingTeam ManagementAgileDevOpsRobotics
IT Technician - Delta Global International Education Co. Ltd
Hardware
BootingOperating SystemsTroubleshooting
Firewall
Networking
Technical Support
Front-End Web Developer - Coante Quartz Surfaces
HTML
CSS3JavaScriptReact
SQL DatabaseUI/UX
Power BI
SEO
Intern - Turkish Informatics Foundation
Data Science
Machine LearningData PreprocessingData Visualization
RPythonPandasMongoDBPyTorch
OpenCVKerasScrapy
TensorFlow
Projects
Participant - Machine Learning Challenge
Participant - Machine Learning Challenge
Mentor - Vex Robotics
Nanotechnology Research Project - Mugla University
Team Captain - FIRST Robotics Competition (Team Oksef #7140)
Programmer - FIRST Robotics Competition (Team Sparc #5665)
Certifications and Licences
Technical Support Fundamentals
Google, Coursera
Issued March - 2024
Introduction to Cloud Computing
IBM, Coursera
Issued Dec - 2023
Introduction to DevOps
IBM, Coursera
Issued Nov - 2023
Introduction to Agile Development and Scrum
IBM, Coursera
Issued Nov - 2023
Azure Machine Learning for Data Scientists
Microsoft, Coursera
Issued Nov - 2023
Mathematical Thinking in Computer Science
UC San Diego, Coursera
Issued Nov - 2023
Machine Learning A-Z: AI, Python & R
Udemy
Issued Nov - 2023
Inspiring and Motivating Individuals
University of Michigan, Coursera
Issued May - 2023
AI Tomorrow Summit 2023
AI Policies Association of Turkiye
Issued March - 2023
3rd Interdisciplinary Data Mining Bootcamp
Turkish Informatics Foundation
Issued Aug - 2018
Certificate of Completion - Mentor Training
Vex Robotics
Issued Aug - 2017
Certificate of Participation (x3)
FIRST Robotics
Issued 2016-2017-2018