Sami Alperen Akgün

Robotics Software Developer at Kindred, Part of Ocado Group
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Contact Information
us****@****om
(386) 825-5501
Location
Toronto, Ontario, Canada, CA

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Orhan Can Görür, Dr.-Ing.

Alperen had his internship under my supervision at TU Berlin. He showed great passion and commitment to the project about creating robot decision models incorporating human mental states. He has good communication skills, he is a fast learner and he is very hardworking.

Hamza Sadruddin

I found Alp to be a very friendly guys, someone who was always and easily reachable. I found him curious about different subjects and was very eager to learn and grow. He was always fine with taking tasks outside of his comfort zone, which many people hesitate. He will be an asset to any team and organization.

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Credentials

  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
    Coursera
    Oct, 2022
    - Oct, 2024
  • Neural Networks and Deep Learning
    Coursera
    Jul, 2022
    - Oct, 2024
  • Stanford Online: Machine Learning
    Coursera
    Jun, 2022
    - Oct, 2024
  • PLCnext- Next Generation PLC
    Code and Compile
    Oct, 2021
    - Oct, 2024
  • Problem Solving
    HackerRank
    Jan, 2021
    - Oct, 2024
  • Ten Thousand Coffees Member
    Ten Thousand Coffees
    Jan, 2021
    - Oct, 2024

Experience

    • United States
    • Automation Machinery Manufacturing
    • 100 - 200 Employee
    • Robotics Software Developer
      • Feb 2023 - Present

    • United States
    • Security and Investigations
    • 1 - 100 Employee
    • Robotics Software Engineer
      • Dec 2021 - Feb 2023

      * Implementing sensor fusion approaches to improve the perception & localization * Handling DevOps setting up containerization environment, maintaining it & auto builds/tests * Designing system architecture, selecting hardware, and bringing it to the current software stack & testing * Improving the performance of path planning with perception and increasing scene awareness * Bringing ROS2 to ROS1 stack, handling safe and efficient transition for CI & CD * Designing and implementing smooth and reliable obstacle avoidance behavior * Data handling between CANbus and ROS * Collaborating with the electrical and mechanical teams to ensure autonomy and success * Exploring NVIDIA Isaac with ROS2 for better scene understanding and risk-free path planning Show less

    • Canada
    • Research
    • 1 - 100 Employee
    • Graduate Researcher
      • Aug 2019 - Sep 2021

      * Collaborated with a multi-disciplinary and international team* Conducted research on robot-assisted search and rescue and human-robot interaction projects* Developed algorithms for robots MiRo, Husky & QT robots using ROS with Python and C++* Set up the robots and servers in the lab and created tutorial documentsSupervisors: Prof. Kerstin Dautenhahn Prof. Mark CrowleyProf. Moojan Ghafurian

    • Graduate Research Assistant
      • Jan 2020 - Apr 2020

      Responsibilities:* Creating a bridge between Robot Operating System (ROS) and Yet Another Robot Platform (YARP). * Assisting researchers in the lab with technical issues related to robots * Assisting with the setup and maintenance of the lab servers

    • Canada
    • Higher Education
    • 700 & Above Employee
    • Graduate Teaching Assistant
      • May 2021 - Aug 2021

      SYDE 252 Signals and Systems

    • Graduate Teaching Assistant
      • Jan 2021 - Apr 2021

      SYDE 352 Introduction to Control Systems

    • Graduate Teaching Assistant
      • Sep 2020 - Dec 2020

      SYDE/BME 411 Optimization and Numerical Methods

    • Graduate Teaching Assistant
      • May 2020 - Aug 2020

      ECE 493 Reinforcement Learning.

    • Türkiye
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Researcher
      • Oct 2018 - Jun 2019

      * Designed and built a robotic platform from scratch (including a LIDAR sensor) for 2Dsimultaneous localization and mapping (SLAM).* Developed ROS drivers for ARM-based hardware and integrated custom drivers into ROS navigation stack* Compared built-in SLAM approaches in ROS* Won “Advanced Hardware Design Award” among 52 graduation projects within METUEEE department.* Awarded as “second best research project” in the competition organized by The Scientificand Technological Research Council of Turkey (Tubitak).* Supervisor of the project was Prof. Mustafa Mert Ankarali. Show less

    • Teaching Assistant
      • Oct 2018 - Jan 2019

      EE313 Analog Electronics Laboratory

    • Undergraduate Researcher
      • Jan 2018 - Jun 2019

      * Detection of internal movements of kidneys at a precise level to help laparoscopic kidney stone removal operations by respiratory motion tracking * A novel Exact Kalman Filter that outperforms Extended Kalman Filter and Unscented Kalman Filter was developed to track respiratory motion. * The supervisor of the project was Prof. Aydan Erkmen * Detection of internal movements of kidneys at a precise level to help laparoscopic kidney stone removal operations by respiratory motion tracking * A novel Exact Kalman Filter that outperforms Extended Kalman Filter and Unscented Kalman Filter was developed to track respiratory motion. * The supervisor of the project was Prof. Aydan Erkmen

    • Türkiye
    • Non-profit Organizations
    • 1 - 100 Employee
    • Student Mentor at Robotics and Automation Society
      • Sep 2015 - Jun 2019

      * Mentored university students on robotics projects * Robotics projects were in a wide range starting from beginner projects like line follower to advanced ones like human action recognition for robot manipulation * Mentored university students on robotics projects * Robotics projects were in a wide range starting from beginner projects like line follower to advanced ones like human action recognition for robot manipulation

    • Research Services
    • 700 & Above Employee
    • Research Intern
      • Jul 2018 - Oct 2018

      * Dataset of motion of real robots for 3D motion segmentation created. * Kinematic structure correspondence code written in MATLAB and R transferred to C++ to use for real-time imitation learning on iCub. * The supervisor of the project was Prof. Yiannis Demiris. * Dataset of motion of real robots for 3D motion segmentation created. * Kinematic structure correspondence code written in MATLAB and R transferred to C++ to use for real-time imitation learning on iCub. * The supervisor of the project was Prof. Yiannis Demiris.

    • Türkiye
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Researcher
      • Oct 2015 - Jan 2018

      * Conventional image processing techniques and convolutional neural networks (CNN) were employed to segment vessels in retina images. * Classification of Retinopathy of Prematurity (ROP) was done with 96% accuracy using CNN. * The supervisor of the project was Prof. Ilkay Ulusoy * Conventional image processing techniques and convolutional neural networks (CNN) were employed to segment vessels in retina images. * Classification of Retinopathy of Prematurity (ROP) was done with 96% accuracy using CNN. * The supervisor of the project was Prof. Ilkay Ulusoy

    • Project Engineer at Robotics and Automation Society
      • Oct 2016 - Oct 2017

      * Human action recognition with RGB-D video input was achieved using openNI2 and NITE libraries under the ROS framework. * Recognized actions were used to control 4 DOF robotic arm with an end effector. * Human action recognition with RGB-D video input was achieved using openNI2 and NITE libraries under the ROS framework. * Recognized actions were used to control 4 DOF robotic arm with an end effector.

    • Germany
    • Research Services
    • 1 - 100 Employee
    • Research Intern
      • Jun 2017 - Sep 2017

      * Created simulation environment for human-robot collaboration for smart factory environment using MORSE simulator. * Applied ROS meta-package TOASTER for spatial-temporal reasoning. * Implemented a Partially Observable Markov Decision Process (POMDP) for robots in the simulation * Created simulation environment for human-robot collaboration for smart factory environment using MORSE simulator. * Applied ROS meta-package TOASTER for spatial-temporal reasoning. * Implemented a Partially Observable Markov Decision Process (POMDP) for robots in the simulation

Education

  • University of Waterloo
    Master's of Applied Science (MaSC), Systems Design Engineering
    2019 - 2021
  • Orta Doğu Teknik Üniversitesi / Middle East Technical University
    Bachelor of Science - BS, Electrical and Electronics Engineering
    2014 - 2019

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