About Me
Electrical and Electronics Engineer with hands-on experience in software development, embedded systems, RF engineering, and signal processing. I've developed applications and algorithms using Python, C++, C#, SQL, and MATLAB through industrial R&D projects in telecommunications and data analytics.
I have a strong background in machine learning, computer vision, and communication systems, with the ability to bridge software and hardware to develop reliable engineering solutions — from RF board design and radar signal processing to embedded firmware and full applications.
Skills
Experience
Wireless Network Engineer
Jun 2026 – Jul 2026Huawei
Supported the operation and optimization of 2G/3G/4G/5G Radio Access Networks (RAN) by performing KPI monitoring, alarm analysis, network troubleshooting, and configuration tasks in a live commercial network.
Radar Data Analyst
Oct 2025 – Jun 2026PaneraTECH
Developed signal processing and machine learning algorithms for high-volume industrial radar data used in non-destructive testing (NDT). Built Python-based data pipelines with FFT, digital filtering, feature extraction, and scikit-learn models for automated anomaly detection.
RF/MW Design Engineer
Nov 2024 – Sep 2025ASELSAN
Contributed to the design, simulation, testing, and optimization of RF boards for broadband base stations and narrowband radio systems — tunable microstrip filters, impedance matching networks, VCO design, and LNA/PA/mixer characterization using VNAs and spectrum analyzers.
Engineer Intern — LNA Design
Aug 2024 – Sep 2024ASELSAN
Designed and optimized a Low Noise Amplifier (LNA) using RF circuit and EM simulation tools, evaluating topologies and transistor technologies across gain, noise figure, OIP3, P1dB, and power consumption trade-offs.
Engineer Intern — Backend Development
Aug 2023 – Sep 2023Enerjisa
Contributed to internal and customer-facing applications, building C# test software for Oracle and PostgreSQL databases with ASP.NET Core, SQL, and Agile practices.
Engineer Intern — Embedded Systems
Jun 2023 – Jul 2023Teknokar Defense
Developed a C# desktop application to automate firmware deployment to microcontrollers, improving the programming workflow for production boards.
Projects
Chess Engine
Python-based chess engine with an AI trained on large-scale chess game datasets — legal move generation, board representation, position evaluation, and optimized search/decision-making. Source available on GitHub.
View on GitHub →Real-Time OCR for Production Lines
Multi-threaded real-time OCR system for production line automation, enabling simultaneous video streaming and background text recognition through concurrent execution.
ConnectL & GateWeaver
Two Android puzzle games published on Google Play, with procedural level generation, puzzle validation algorithms, and scalable difficulty progression for endless, solvable gameplay.
ConnectL on Google Play → GateWeaver on Google Play →CanSat Ground Station — ParsySAT
Ground station software for the ParsySAT team in the international CanSat competition (NASA / AAS / Siemens sponsored) — real-time telemetry, GPS tracking, and 3D satellite attitude visualization. Team finished 5th worldwide in CanSat 2023.
Roketsan CubeSat Project
Embedded software for Başkent University's CubeSat as part of the Roketsan sounding rocket project — sensor data acquisition, CRC16-XMODEM integrity verification, and RS422 telemetry communication.
Graduation Project — Motion Tracking
Real-time motion tracking system combining IMU sensor data and computer vision for a Roketsan collaborative project, with Kalman filtering, sensor fusion, and a Unity-based 3D application.