As an Electrical and Electronics Engineering student, my work is centered around computer vision, model training, and hardware-software integration. By combining my system and virtualization experience gained in enterprise IT infrastructures with my object-oriented programming capabilities, I develop analytical solutions to complex engineering problems. With strong communication skills honed through leadership roles and teamwork, I aim to develop innovative, scalable technologies fully compliant with engineering standards.
Location
Istanbul, Türkiye
University
Istanbul Medipol Univ.
Major
Electrical-Electronics Eng.
Languages
Turkish, English (Advanced)
Academic Journey
Expected Graduation: June 2028
Istanbul Medipol University
Bachelor's Degree, Electrical and Electronics Engineering
Experience
July 2026 — August 2026 · 1 mo
Ziraat Teknoloji A.Ş.
System and Virtualization Engineering Intern (IT Infrastructure & Operations)
Working on VMware vSphere, VMware Workstation, and virtualization architectures in large-scale enterprise data centers at one of Turkey's largest technology hubs.
Applying terminal-based system management, network topology analysis, and operational business continuity processes on Red Hat Enterprise Linux and Windows Server platforms.
August 2025 — September 2025 · 1 mo
Gülverdi Elektrik
Electrical Engineering Intern (Power Systems & Infrastructure)
During my volunteer internship at the Emlak Konut - Adıyaman Merkez Yerinde Dönüşüm project, I gained extensive hands-on experience in the execution of large-scale, turnkey electrical infrastructure and superstructure works.
Throughout this period, I developed a deep technical proficiency in a wide range of systems, including high voltage systems, civil electrical infrastructure, and complex building wide low current systems.
September 2025 — July 2026
IEEE Communications Society (ComSoc) President
Istanbul Medipol University
Managed resource allocation, event planning, and technology seminar coordination to support the professional development of engineering students.
Projects
IQForge
2026
A tool that turns software-defined radio (SDR) captures into PyTorch datasets without silently corrupting them. Windows from the same recording always land in the same split, which rules out train/test leakage structurally.
When SDR captures are cut into windows, neighbouring windows share samples. A naive split scatters them across train and test, inflating reported accuracy by as much as 13.6 points.
Approach
I built a pipeline that splits at the recording level rather than the window level: it reads SigMF files directly, takes labels from SigMF annotations, directory structure, or CSV, and balances metadata fields that would otherwise introduce hidden correlations.
Result
A tool that halts with an explanatory error instead of silently falling back when stratification becomes structurally impossible, and writes the configuration, label map, and split assignments into every dataset it produces so results stay reproducible.
An AI-driven security prototype bridging computer vision with hardware control. I developed an edge-optimized YOLO26 object detection model and integrated it with a relay-based lock system.
PythonYOLO26Edge ComputingAccess Control
Problem
Room/door access and occupancy needed a lightweight system that could monitor and control entry automatically, with real hardware integration.
Approach
I developed an edge-optimized YOLO26 object detection model and integrated it with a relay-based lock mechanism.
Result
A working smart access and occupancy monitoring prototype that bridges computer vision with hardware control.
A Python-based sensor automation project to maximize solar energy efficiency.
PythonSensor Automation
Problem
Fixed-angle solar panels leave part of their capacity unused, because the sun moves across the sky through the day.
Approach
I built a Python-based automation that positions the panel across three axes and tracks the sun using sensor readings.
Result
A working prototype that holds a better angle of incidence through the day than a fixed panel.
Smart Load Shedding (IoT)
Processes energy telemetry from an ESP32 and sheds load through a relay when a threshold is crossed. Hysteresis and a confirmation window protect the relay; telemetry, alerts, and shedding events are published over MQTT.
PythonESP32IoTMQTTSQLite
Problem
There was no way to watch grid consumption other than the utility meter, so anomalies like power surges, voltage sags, or a low power factor passed unnoticed.
Approach
I built a three-tier system: an ESP32 with a PZEM-004T takes raw AC measurements, a Python bridge computes active/apparent/reactive power and cumulative kWh, and a web dashboard shows live metrics and historical trends. Events are written to SQLite asynchronously in WAL mode.
Result
A working system that raises automatic alerts for consumption surges, voltage sag/swell, and low power factor, while hysteresis and a confirmation window protect the relay.
Computer Vision & AIEmbedded Systems & RoboticsRenewable Energy & Power SystemsIoT & TelemetrySystem Architecture & VirtualizationEntrepreneurship & Product Development
Technical Expertise
AI & Image Processing
Computer VisionYOLO26Dataset CreationData LabelingModel Training (Fine-Tuning)
Programming & Comms
PythonJavaCREST APIMQTT
System & Infrastructure
VMware vSphereRed Hat Enterprise LinuxEnterprise VirtualizationNetwork Topologies
