Documentation First
Design decisions recorded before implementation begins. Architecture choices are tracked through ADRs and staged methodology.
SYSTEMS · QUANTUM RESEARCH · OPEN HARDWARE
Systems Engineer & 2026 IBM Champion
2026 IBM Champion. Systems engineering, applied quantum-simulation research, machine learning, embedded and real-time systems, health-tech, and open hardware.
About Me
I'm a Computer Engineering student at TED University and a 2026 IBM Champion, bridging mainframe technologies and modern computer science education. My work spans systems engineering, embedded and real-time development, applied quantum-simulation research, and health-tech innovation. As an IBM Z Student Ambassador and IBM-Z Club President, I connect enterprise computing professionals with the next generation of systems engineers, championing open-source, documentation-first methodology where every design decision is recorded before implementation begins.
How I Work
Design decisions recorded before implementation begins. Architecture choices are tracked through ADRs and staged methodology.
Particularly prioritized in embedded and hardware domains where post-fabrication fixes are expensive or impossible.
Favoring reproducible development environments. Every schematic, every simulation, every tool: open and verifiable.
Computer Engineering · Business Administration Minor
Combining strong technical foundations with real-time systems, data structures, and business-oriented thinking.
Key Coursework
Achievements
Open-source DDR4 UDIMM reference design
An open hardware project building transparent, reproducible DDR4 UDIMM module designs. The initiative now spans two repositories: the original OMI hardware design and spdr, a no_std Rust DDR5 SPD decoder and semantic linter published on crates.io under Apache-2.0. Emphasizes documentation-first methodology with architecture decisions recorded before implementation.
Fuzzy-logic noise modeling for quantum simulation
A research project building ensemble-based noise models for IBM quantum backends using Takagi-Sugeno-Kang fuzzy inference with interval type-2 fuzzy sets. The central claim is transferability: noise predictions that hold across IBM's calibration cycles instead of overfitting a single snapshot.
More projects spanning embedded systems, web development, mobile apps, and machine learning.
Professional experience, leadership roles, and academic background.
Built Python data infrastructure for the Revenue Analysis & Reporting Unit. Delivered the Dynamic Discrete Surcharge Prediction backend (Airflow-orchestrated ELT from Teradata and Oracle into a PostgreSQL medallion store, with a FastAPI service exposing features for a gradient-boosting surcharge model), and PNR collection-time analytics over ~96K bookings using DuckDB and chi-square testing.
Built a C++17 code-generation and mission-execution system for tactical messaging, in the Signal Processing and Embedded Software System Design Directorate. A spreadsheet-defined data model compiles to C++ headers through a canonical intermediate representation, behind a validation boundary that emits nothing unless the model validates in full. Publish-subscribe transport with resilience testing under broker failure.
Leading the youth commission with focus on team management and organizational leadership within one of Turkey's prominent industry associations.
Active member of the world's largest aerospace professional society, engaging with aeronautics and astronautics research communities.
Open hardware DDR4 UDIMM reference design. Power/PDN, address/command, and data byte-lane schematics completed. 10+ educational chapters authored.
View Details5G-enabled remote patient monitoring platform with AI-based triage and real-time hospital bed tracking.
Leading a five-person research team building fuzzy-logic noise models for quantum simulation, targeting IEEE QCE 2026. Own the architecture, the calibration-data pipeline, and the decision record.
View DetailsLow-level Go-to-mainframe interoperability via assembly, under the mentorship of an IBM Senior Technical Staff Member at IBM Böblingen. z/Architecture calling conventions, ABI and endianness; six exercises completed and verified on amd64 ahead of mainframe access.
View DetailsReact Native Pomodoro timer with timestamp-based timing, offline-first architecture, and zero data collection.
View DetailsPriority-based scheduling with mutex-protected circular buffers, deferred ISR processing, and FreeRTOS+UDP networking.
View DetailsRecognized as a speaker advocate for IBM Z Day, demonstrating expertise in mainframe technology advocacy.
Completed McKinsey's program focused on essential professional skills for the future of work.
IBM's professional certificate in data science.
Advanced track of IBM's mainframe skills program.
Cisco certification in network automation engineering.
Civil aviation authority certification for unmanned aerial vehicle operation.
Focusing on embedded systems, data structures, and software engineering. Active in IBM Z TEDU, AI & Data Science Society, TEDU AERO, IAESTE, and ALECTED.
Minor in Business Administration covering marketing and financial accounting, combining technical foundations with business-oriented thinking.
Mentoring students through the Center for Teaching and Learning's mentor support program.
Led laboratory sessions for the introductory Java programming course.
Deriving noise eligibility from IBM calibration gate lengths fixed a wrong channel and left an uncompiled circuit with an empty noise model.
Dynamical decoupling reversed an apparent subthreshold trend for a surface code on IBM heavy-hex hardware. Here is the mechanism and the numbers.
An IBM preprint composes post-selection with probabilistic error cancellation using a spacetime noise model, cutting inferred sampling overhead 63-fold.
Interested in collaborating on open-source projects, embedded systems, or web development? I'd love to hear from you.