FURKAN EGE HOSGUNGOR

Email: adhjn8@r.postjobfree.com GitHub: https://github.com/Hsgngr

Portfolio: https://hsgngr.github.io/hosgungor/ LinkedIn: https://www.linkedin.com/in/hosgungor/ Tel: +44-730-***-**-**-** Vallance Gardens BN3 2DB, Brighton and Hove, UK EDUCATION

University of Sussex MSc Advanced Computer Science Sep 2019 – Oct 2020

Pandemic Simulation with Reinforcement Learning, dissertation project for master’s degree

Area Courses: Machine Learning/ Engineering Reliable and Scalable Project / E-Business and E-Commerce Systems

GPA: Distinction 1:1

Koç University BSc Mechanical Engineering Sep 2014 – June 2019

Senior year project: A Haptic Feedback Glove for Virtual Reality. Got A+ and Best Senior Project Award.

Area Courses: Rocket Propulsion / Finite Elements Analysis/Machine Design, Corporate Dynamics for Engineers

Research experience in 5 different labs: Immersive, Design, Manufacturing and Automation, Nanotechnology. EXPERIENCE

Project Lead Developer KARMA Lab Immersive Technologies Jan 2019 – Jun 2019

Obtained team leading experience with a group of 15 people including professionals, post grads and grad students.

Gained expertise in creating projects with Arduino, Leap Motion and Computer Vision with Infrared Cameras.

Supervised the KARMA Lab’s 3 VR/AR/MR projects: KU-TWIN, Isles of Emotion, Psychosis Unity Developer KUAR Research Center for Creative Industries Oct 2018 – Jun 2019

Created a “Digital Twin” of campus for VR by utilizing photogrammetry techniques, Modelling and Unity.

Managed a team which includes architects, product designers and software developers.

Obtained a deep care about developing, releasing and maintaining high quality code.

Learned to use version control Git with large-scale simulations up to 1TB. Summer Intern BSH Hausgeräte Aug2018 – Sep 2018

Worked in Cooling Systems-Functional Development & Testing R&D Center of Refrigeration

Diagnosed an optimization on manufacturing process of refrigerators cover hinges. Summer Intern Ford Otosan Aug 2017 – Sep 2017

Worked in "Engine and Power Train Manufacturing” Department R&D in İnönü Truck Factory.

Reverse engineered the competitors’ truck engines and compared the results with Ford Ecotorq Truck Engine. Undergrad Research Assistant Manufacturing and Automation Research Center Oct 2016 – Nov 2017

Implemented a PID controller for 2D Inverted Pendulum with MATLAB Simulink

Reverse engineered a Hexacopter drone and modelled on Siemens NX PROJECTS

A Deep Recurrent Neural Network (RNN) Model for predicting the effect of COVID-19 on Stock Market prices, ongoing classification project with a team of finance and economics postgrads.

Pandemic Simulation with Deep Reinforcement Learning. The project is about training agents to make them learn survival strategies in an epidemic outbreak such as social distancing and self-quarantine. TensorFlow is used as backend and trainings are done on cloud using AWS EC2 instance. The Unity added the project to their showcase and the project will be public soon. Moreover, the thesis is planned to publish after Oct 2020.

A Binary Image Classification Machine Learning Project in Postgraduate Machine Learning Module. A Random Forest Classifier model has been chosen and implemented with Python using Sklearn. Imbalance, unlabeled data, domain adaptation and confidence annotation were some of the challenges that I have been faced. Finished at the top of the leaderboard with 82% accuracy in the test-set.

A Vibrotactile Hand Interface for VR was final year project of bachelor’s degree. The project aimed to create sense of reality by giving vibrotactile feedback to hand. The hardware has been created using 10 ERM vibration motors, Arduino, C, Leap Motion and HTC VIVE and 3D printing; software has been developed with C# in Unity. The project got Best Engineering Project Class of 2018-2019 Award and it is presented in VRDays Exhibition on Amsterdam afterwards.

A Cross Platform Multi-User Real Estate Application is created using React Native and JavaScript. The MongoDB is used as database, Firebase used for Authentication and the REST API is implemented with Express.js in Node.js.

A web-based, multi-user-payment service using J2EE technologies. 3-Tier Architectural pattern has been utilized: Java Server Faces for user interfaces, Enterprise Java Beans for business logic, Form-based authentication for security and Java Database Connectivity (JDBC) and SQL for database. All project has been done without any extra libraries, from the scratch. The project has aimed to provide a strong fundamental of Web Services. The application deployed on AWS EC2 Instance at the end, got A+ from the course. Work Eligibility: Eligible to work in the UK and Turkey

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