Oruç Çakır
Computer Engineering Student
I'm driven by a simple idea: turning complex challenges into clear, efficient solutions. Whether it's optimizing a processor at the hardware level or building an intuitive AI, I thrive on uncovering hidden patterns and creating clarity from chaos. My journey through international internships has taught me that the best technology is built by people from diverse backgrounds, and I carry that collaborative spirit into everything I do.
Education
Bachelor of Science: Computer Engineering
TOBB University of Economics and Technology, Ankara
09/2021 – Current
GPA: 3.80/4.00
High School Diploma
Meram Science High School, Konya
Graduated
Graduation Grade: 98.9/100
Work Experience
AI Performance Intern
Barcelona Supercomputing Center, Barcelona, Spain
08/01/2025 – 07/04/2025
- Developed Lumina, a modular full-stack profiling framework for LLMs (VLMEvalKit, llama.cpp, perf, PAPI, nsys, ncu).
- Profiled inference on Intel Xeon 8480+ and NVIDIA H100; identified bottlenecks across CPU/GPU.
- Benchmarked on MMLU, MMBench, OCRBench.
- First-author paper accepted at SAMOS 2025: “Beyond the Shadows A Deep Dive into Profiling Modern Mixed-Modal and Multi-Modal Transformer Models”.
- Undertaken as part of the Erasmus+ program.
IoT & AI Intern
GT-ARC, Berlin, Germany
12/06/2024 – 03/09/2024
- Integrated OPACA Framework with Node-RED via custom nodes for agent communication and automation.
- Built a ChatGPT-powered smart home chatbot with voice & image capabilities; modular backend integrated with OPACA for real-time use.
- Undertaken as part of the Erasmus+ program.
Intern
AYESAŞ, Ankara, Türkiye
15/09/2025 – Current
Undergraduate Researcher
Kasırga Microprocessors Laboratory, Ankara, Türkiye
08/01/2024 – Current
- Led design of a custom pipelined processor in Verilog; drove architectural & functional optimization.
- Coordinated on-site and remote progress during internships; resolved design challenges.
- Researched transformer optimization for LLMs; developed transformers.cpp (C++).
Full Stack Developer
Specson Instruments, Ankara, Türkiye
01/01/2024 – 05/05/2025
- Developed the Specson CO₂ Capture System (C#/.NET): modular components, UI, MFC backend logic.
- Integrated Excel-based data handling & reporting; improved operator workflow.
- Diagnosed and fixed a legacy timing issue affecting run scheduling in earlier versions.
Teaching Assistant
TOBB University of Economics and Technology, Ankara, Türkiye
15/09/2023 – 06/06/2024
- Supported labs, clarified core programming concepts, and guided OOP exercises.
Private Tutor
TOBB University of Economics and Technology, Ankara, Türkiye
15/09/2023 – Current
- Provided private tutoring to a fellow student, covering introductory programming with Java and combinatorics.
Achievements & Awards
TEKNOFEST 2024 Digital Processor Design Category
TÜBİTAK | The Scientific and Technological Research Council of Türkiye
05/09/2024
Kasırga ATEŞ Team 2nd place nationally, recognized for advanced processor architecture design and optimization.
TEKNOFEST 2024 Best Team Spirit Award
TÜBİTAK | The Scientific and Technological Research Council of Türkiye
05/09/2024
Awarded for exceptional teamwork, collaboration, and resilience throughout the competition.
Publications
Beyond the Shadows: A Deep Dive into Profiling Modern Mixed-Modal and Multi-Modal Transformer Models
SAMOS 2025 International Conference
01/07/2025
Presented experimental configurations, reproducibility notes, and detailed profiling and benchmarking traces analyzing cache behavior, attention efficiency, and memory bandwidth across heterogeneous hardware for transformer based large language models.
Skills & Interests
Programming Languages
Frontend
Backend
Database
Machine & Deep Learning
Languages
Interests
Career Goals
I build efficient AI systems focusing on transformer internals, performance profiling, and hardware software co-design. My recent work spans transformers.cpp and Lumina,with first author results accepted at SAMOS 2025.
Short term, I’m deepening systems level ML expertise: pushing inference efficiency, hardening open-source tooling and collaborating on reproducible, publication-quality experiments.
Longer term, I aim to lead research at the intersection of AI systems and hardware translating rigorous measurement into practical acceleration on real workloads and to keep contributing high-impact, well-documented open-source work.
