Furkan Küçük
Machine Learning and Artificial Intelligence Engineer/Researcher
I build ML systems from the GPU kernel up to the LLM agent, and I build the measurement around them before I trust them.
Based in Lausanne, Switzerland. Open to ML research and applied AI roles.
About
I started in electrical engineering, working on 5G caching research that became a patent granted in Turkey, the US and the EU.
Since 2020 I have worked on computer vision and generative models in production: real-time detection and super-resolution on TensorRT and DeepStream, diffusion pipelines for architecture and virtual try-on, and LLM agents that orchestrate deterministic tools.
In September 2026 I completed an MSc in Computer Engineering at METU (GPA 3.93/4.00), with research on domain adaptation, generative models and compression. I live in Lausanne.
Experience
– 8 mos
Lead AI Solutions Architect
ikas · Türkiye
- Directed AI integration for products and internal workflows across multiple teams
- Designed and deployed 6+ commercial-grade computer vision tools for image generation/editing
- Built 2 agentic systems for documentation and chatbot automation
- AI Integration
- Computer Vision
- Agentic Systems
- MLOps
- LLMs
- Multi-Modal Models
– 6 mos
Lead Data Scientist
EPAM Systems · Türkiye
- Led EPAM's Computer Vision initiatives in Turkey
- Collaborated with Zalando on production-grade VTOn pipeline, advancing base generator and generative super-resolution models in a 3-component architecture
- Conducted multi-node training and deployment on Kubernetes clusters
- Computer Vision
- Diffusion Models
- Generative Super-Resolution
- VTOn
- MLOps
- Kubernetes
- Multi-Node Training
– 1 yr 2 mos
Head of Artificial Intelligence
Poliark Inc. · Türkiye
- Developed LLM-based agents and integrated graph models, diffusion models and MIQP optimizations
- Built custom ControlNet and LoRA pipelines for high-accuracy visual outputs in architectural design
- Engineered floor plan vectorization from CAD images via segmentation, graph processing and optimization
- Trained task-specific LLMs for architectural design and space planning
- Managed GPU/CPU deployment pipelines across AWS and GCP
- LLM Agents
- Computer Vision
- ControlNet
- LoRA
- Instance Segmentation
- Graph Processing
- MIQP
- AWS
- GCP
- MLOps
– 3 yrs 9 mos
Machine Learning Researcher in Computer Vision
DataBoss Security & Analytics · Türkiye
- Conducted research on video object detection, image enhancement, super-resolution, dehazing, and OCR
- Built distributed real-time CV deployment systems utilizing TensorRT and DeepStream
- Led MLOps infrastructure buildout with DBC, experiment tracking and orchestration
- Contributed to design, development and deployment of from-scratch distributed inference architecture; conducted multi-node training
- Improved object detection and super-resolution performance by 80% and 30% respectively
- Computer Vision
- TensorRT
- DeepStream
- MLOps
- Object Detection
- OCR
- Super Resolution
- Dehazing
- Multi-Node Training
- Distributed Inference
– 7 mos
Research Engineer
TOBB University of Economics and Technology · Türkiye
- Led "Collaborative Caching in 5G Networks" with HAVELSAN, resulting in patents in EU, US and Turkey
- Built LTE simulations using NS-3
- 5G Networks
- NS-3
- Research
- Patent Development
- Probability Theory
- Caching Algorithms
Skills
- Programming Languages
- Python
- C/C++
- CUDA (GPU)
- TypeScript
- Java
- MATLAB
- LaTeX
- ML Inference & Deployment
- TensorRT
- ONNX
- DeepStream
- Docker
- TensorBoard
- ML/AI Frameworks
- PyTorch
- Torchscript
- OpenCV
- MMCV
- Keras
- Scikit-Learn
- AI-SDK
- Mastra
- LangChain
- MLOps & Cloud
- AWS
- GCP
- MLFlow
- DVC
- W&B
- ClearML
- Git
- Unity
- Roboflow
- CVAT
- LLMs & Orchestration
- LLMs
- vLLM
- LangChain
- LangGraph
- Langsmith
- Langflow
- n8n
- Data Streaming
- Kafka
- Kafka Connect
- RedPanda
- gRPC
- RTSP
- InfluxDB
- QuestDB
- Grafana
- Data Science Libraries
- NumPy
- Pandas
- SciPy
- sci-opt
- Matplotlib
- Seaborn
- Languages
- Turkish Native
- English TOEFL iBT 98/120
- French Beginner, learning
Projects
3 projects
Eulerian Video Magnification in CUDA
Hand-written CUDA C++ implementation of MIT's Eulerian Video Magnification, up to ~1,650× faster than the NumPy reference implementation on an RTX 3090 (FP16, kernel time). Six backends (CUDA, Metal, Vulkan, OpenCL, PyTorch, NumPy).
- CUDA C++
- Metal
- Vulkan
- OpenCL
- PyTorch
- pybind11
- GPU Benchmarking
ResuVL
Three fine-tuned vision-language models, ResuVL-S, ResuVL-M and ResuVL-L (0.26B, 0.51B and 0.87B parameters), that read a CV page image and write its content as JSON, with no PDF text layer. On 204 held-out pages ResuVL-L scores 0.845 field F1 and reads a page in about a minute on a laptop CPU.
Models on Hugging Face- Vision-language models
- Fine-tuning
- Knowledge distillation
- Document AI
- PyTorch
Video Decomposition Prior, re-implemented
PyTorch re-implementation of the ICLR 2024 paper "Video Decomposition Prior: Editing Videos Layer by Layer", with relighting, dehazing and segmentation results. Built with Alper Bahçekapılı for METU CENG 796 Deep Generative Models.
- PyTorch
- Video editing
- Generative models
- Paper re-implementation
Research
2022Patent
A Use Frequency-based Cooperative Caching Method for Multi-layer Network Structures
Patent granted in Turkey, the United States and the European Union
F. Küçük, T. Girici, A. M. Yuksel, M. K. Cetin
TR WO2020142046A1 US US11343350B2 EU EP3906658NWA1
2019Paper
Collaborative Hierarchical Caching in ICN-Based 5G Networks
Third International Balkan Conference on Communications and Networking, BALKANCOM'19
F. Küçük, T. Girici, A. M. Yuksel, M. K. Cetin
2017Paper
Fair Beam Allocation in Millimeter-Wave Multiuser Transmission
WSA 2017; 21th International ITG Workshop on Smart Antennas, pp. 1–5, Berlin, Germany
F. Karababa, F. Küçük, T. Girici
2023Conference
CVPR '23 Vision-based InduStrial InspectiON
1st workshop on Vision-based InduStrial InspectiON, in collaboration with Apple
Vancouver, Canada · January 2023 – June 2023
Education
– 4 yrs 9 mos
Master of Science in Computer Engineering
Middle East Technical University · Türkiye
GPA: 3.93/4.00 (Summa Cum Laude)
- One-year preparatory program in undergraduate Computer Engineering (Operating Systems, Algorithms, Data Structures, Discrete Computational Structures)
- Research on advanced Computer Vision techniques under Asst. Prof. G. Cinbiş
- Focus on Domain Adaptation, Generative models, and compression
- Computer Vision
- Domain Adaptation
- Video Compression
- Diffusion Models
– 4 yrs 9 mos
Bachelor of Engineering in Electrical and Electronics Engineering
TOBB ETU · Türkiye
GPA: 3.27/4.00
- Contributed to radar systems and 5G communication networks research
- Collaborated with Dr. T. Girici and Dr. A.M. Yüksel Turgut on caching algorithms
- Strong foundation in electrical engineering and telecommunications
- 5G Networks
- Radar Systems
- Telecommunications
- Caching Algorithms
- Probability Theory
Furkan is a strong Data Scientist with deep and mature expertise in computer vision, consistently delivering high-quality technical solutions … he successfully helped manage and coordinate part of our Turkey-based team, demonstrating ownership, reliability, and natural leadership skills.
Get in touch
The quickest way to reach me is email.
Based in Lausanne, Switzerland. Open to ML research and applied AI roles.
Turkish nationality, Swiss work permit