Resume

Middle East Technical University

• Middle East Technical University- Electrical and Electronics Engineering
• GPA: 3.23 / 4.00
• Specialization: Signal Processing

ASELSAN

System Engineer

• Developing real-time detection and tracking algorithms for EO/IR and UV systems, covering geometric/radiometric camera calibration, classification, and multi-sensor integration.
• Ensuring robust performance through end-to-end algorithm design and system-level coordination.

Databoss Security & Analytics

Computer Vision and Machine Learning Engineer

• Conducted research on SOTA blind super-resolution algorithms.
• Developed and implemented algorithms for remote-sensing applications.

METU OGAM

Undergraduate Researcher

• Conducted research on event-based vision and its applications in computer vision and robotics under the supervision of Aydın Alatan.
• Developed algorithms for fusing event-based cameras with depth sensors to enhance visual navigation and 6D pose tracking capabilities.

Micropsi Industries

Robotics Software Engineering Intern

• Collaboratively worked on software integration of Fanuc robots to the company's existing system MIRAI in infrastructure and robotics teams under the supervision of Orhan Can Görür.
• Developed automated tests using Gazebo to improve CD/CI processes.
• Researched and implemented a path smoothing algorithm for the new feature releases.

Kuartis Technology and Consulting

Computer Vision and Machine Learning Engineering Intern

• Builded camera calibration pipeline for a MWIR camera.
• Researched and implemented convex optimization algorithms for high speed applications.
• Implemented numerical methods for computer vision algorithms to run on FPGAs.

SensHero Predictive Maintenance Solutions

Data Science Intern

• Contributed to a project about fault detection in electric transmission lines.
• Builded models for condition monitoring and predictive maintenance.

DTS2022 Course as a part of Design Factory Global Network in METU Design Factory

• Contributed to the development and implementation of smartphone sensor-based data acquisition methods, focusing on capturing comprehensive driving behaviors such as head pose, blink rate, and speed, as well as complex driving maneuvers within the interdisciplinary framework.
• Involved in the complete product development cycle, from customer surveys and market analysis to competitor analysis, guided by workshops, seminars, and the expertise of faculty members from diverse study fields.

AdımODTU Undergraduate Research Grant Program

• Participated to the research grant program to fund METU VTOL 2020 and Autonomous Dogfighter UAV projects.

Deep Learning Study Group #7

• Participated deep learning study group as a part of inzva, which is a 12-week-long program that aims to teach both theoretical and practical aspects of common deep learning models. Each week a lecture is given by a person who is an expert on that week's topic.

Google Solution Challenge 2021

• Developed mobile social app for raising environmental awareness among users using Flutter.

First Place in UORG 2023 Target Tracking Sponsored by ASELSAN

• Developed detection and tracking algorithm with controller for the 2 axis gimbal mechanism.

First Place in UORG 2022 Autonomous UAV Computer Vision Category Sponsored by STM

• Developed image processing algorithms to detect multiple types of landmarks on the ground to feed a controler with error input for following a track.

Third Place in UORG 2022 Autonomous UAV Autopilot Category Sponsored by STM

• Contributed to development of control algorithm for drone to follow a predetermined path.

Second Place in METU VTOL 2020 Sponsored by Boeing

• Developed image processing algorithm to detect the location of cargo drop which correspons to human lost in a forest in the competition.
• Designed the aircraft in conceptual and detailed in CAD model , and contributed to manufacturing.

First Place in International Robot Competition 2020

• Take a part in the development of The Fire Fighter Drone project, which became 1st Place in International Robot Competition 2020 among 955 confirmed projects from 21 different countries. The Fire Fighter Drone is a fixed-wing VTOL aircraft that can detect fire with an on-board camera and drop fire extinguisher attached to the aircraft at the end of the 1-meter long rope.
• Was responsible for developing a image processing algorithm to detect fire, desing of the aircraft and presentation of the team.
• After the competition, invited to a education camp as an lecturer.

11th Place in Swarm UAV Competition - TEKNOFEST

• Researched and implemented a path planning algorithm for the agents.