Who am I?

I am a Computer Science graduate with a strong interdisciplinary background spanning Data Analytics, Data Science, and Software Engineering. My experience includes working with real-world data pipelines, building analytical and machine learning solutions, and developing scalable software systems across cloud and web-based environments.

I have hands-on experience in data analysis, statistical modeling, machine learning, and backend/frontend development, complemented by a solid foundation in algorithms, system design, and problem-solving. Beyond software, I have also worked on applied projects in robotics, AI, and cybersecurity, which strengthened my ability to think across systems and disciplines.

I thrive in fast-paced environments where ownership, analytical thinking, and execution matter. My goal is to contribute to data-driven and engineering-focused teams while continuously growing as a technologist at the intersection of data, software, and intelligent systems.

Work Experience

Software Engineer, Internship | Boingo Wireless | FEB 2025 – Present

  • Developing and optimizing cloud-based microservices using AWS, Kubernetes, and Terraform, improving system scalability.
  • Implementing CI/CD pipelines, reducing deployment times and increasing automation efficiency.
  • Assisting in network security and performance optimization by monitoring and debugging infrastructure issues.
  • Contributing to software development efforts, enhancing Boingo’s networking solutions with Python and DevOps tools.
    • 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

  • Assisting in course material development and curriculum planning, grading assignments, and providing student support.
    • Operating Systems Hardware Kernel Parallel Programming

    Lab Assistant, Machine Learning & AI Lab│ Southern Utah University | AUG 2024 - PRESENT

  • 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
    • 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

  • Assisted in course material development and curriculum planning, grading assignments, and providing student support.
    • OOP Python Algorithms Java

    Data Science & Machine Learning Engineer Intern | GET Software | May 2024 - Aug 2024

  • 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.
    • 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)

  • 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.
    • 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

  • 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
    • Machine Learning Deep LearningPython Data PreprocessingPandas Keras OpencvImage Processing

    Executive Director - Turkish AI Team

  • 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
    • Machine Learning Deep LearningMLOpsPython Data Preprocessing Keras OpencvImage ProcessingTeam ManagementAgileDevOpsRobotics

    IT Technician - Delta Global International Education Co. Ltd

  • 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.
    • Hardware BootingOperating SystemsTroubleshooting Firewall Networking Technical Support

    Front-End Web Developer - Coante Quartz Surfaces

  • 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
    • HTML CSS3JavaScriptReact SQL DatabaseUI/UX Power BI SEO

    Intern - Turkish Informatics Foundation

  • 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.
    • Data Science Machine LearningData PreprocessingData Visualization RPythonPandasMongoDBPyTorch OpenCVKerasScrapy TensorFlow

    Projects

    Participant - Machine Learning Challenge

  • 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.

    • Participant - Machine Learning Challenge

  • 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.

    • Mentor - Vex Robotics

  • 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

    • Nanotechnology Research Project - Mugla University

  • 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.

    • Team Captain - FIRST Robotics Competition (Team Oksef #7140)

  • 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.

    • Programmer - FIRST Robotics Competition (Team Sparc #5665)

  • 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.


    • 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

    Contact Me

    Click to download my CV