ICEYE
Helsinki, Finland
Oct 2023 – Present
Helsinki, Finland
Ekin NurbaşOptimization & Algorithm Engineer
Eight years of experience solving real-world scheduling, routing and estimation problems. Combining large-scale optimization, statistical signal processing and practical software engineering.
Operations researchScheduling & resource allocation
Production algorithmsFrom models to deployed systems
Signal processingDirection finding & localization
01 /
About
I develop algorithms for complex operational and estimation problems across space, mobility and defense. My work connects a strong foundation in linear algebra, statistics, probability and optimization with hands-on development in Python, MATLAB and C++. I enjoy turning ideas into prototypes and production-ready applications, and mentoring engineers in optimization, signal processing and problem-solving.
02 /
Experience
Getir
Istanbul, Türkiye
Jan 2022 – Oct 2023
Algorithm Engineer II
- Developed vehicle routing and courier assignment algorithms for last-mile delivery operations.
- Developed configurable, multi-objective courier assignment using multi-criteria decision-making, reducing late deliveries by up to 30% in some warehouses.
- Built a company-wide optimizer visualization service using Folium, FastAPI and Jinja2. Worked with VROOM and OSRM, and evaluated algorithms through profiling, benchmarking and complexity analysis.
ESEN System Integration
Ankara, Türkiye
Jun 2018 – Jan 2022
Expert Algorithm Development Engineer
- Developed direction-of-arrival estimation and localization algorithms for HF direction finding and communications intelligence systems.
- Implemented real-time signal processing in MATLAB and C++, using Eigen and OpenMP for high-performance embedded implementations.
- Integrated INS/GPS data to improve geolocation, developed antenna array calibration algorithms and conducted field testing for Airborne COMINT and HFDF systems.
03 /
Expertise & tools
Optimization
Engineering
Signal processing
04 /
Education
Master of Science
Electrical & Electronics Engineering
Middle East Technical University · Ankara
Sep 2019 – Aug 2022 · GPA 3.36 / 4.00
Thesis: Collaborative Direction of Arrival Estimation for Distributed Sensor Array Networks.
Proposed a distributed direction-of-arrival estimation algorithm combining Sparse Bayesian Learning and ADMM.
Focus: statistical and adaptive signal processing, spectral estimation, sensor arrays, radar and computer vision.
Bachelor of Science
Electrical & Electronics Engineering
TOBB University of Economics and Technology · Ankara
Sep 2015 – Apr 2019 · GPA 3.68 / 4.00
Projects included relay race robots, hop count minimization in wireless sensor networks, and brain tumor detection and localization.
Focus: digital signal and image processing, operations research, wireless communication and machine learning.
05 /
Selected publications
Collaborative Direction of Arrival Estimation using ADMM in Distributed Sensor Array Networks Employing Sparse Bayesian Learning
E. Nurbas, E. Onat, T. E. Tuncer · Digital Signal Processing, Vol. 130, 103739 · 2022
Localization by Using Deep Neural Networks for Long Range Targets
E. Nurbas, E. Onat · SIU · 2021
Direction of Arrival Estimation by Using Deep Autoencoder Network
E. Nurbas, E. Onat · SIU · 2020
Performance Analysis of MUSIC and ESPRIT Direction Finding Algorithms in Interference Environment
E. Nurbas, E. Onat, E. Tuncer · SIU · 2019
06 /
Recognition & learning
Awards
- Getir Bravo Award for inspiring and innovative ideas, received twice · 2022
- First place, Senior Year Design Project Competition, TOBB ETÜ Electrical & Electronics Engineering · 2019
Selected certificates
- Project Management: Technical Projects · LinkedIn Learning · 2025
- Operations Research & Optimization for Decision Making · Coursera · 2022
- Multi-objective Optimization; Travelling Salesman & Vehicle Routing · Udemy · 2022
- Python Parallel and Concurrent Programming · LinkedIn Learning · 2021
- Fundamentals of Deep Learning · NVIDIA Deep Learning Institute · 2019