- 🧠 Machine learning & computer vision software engineer with expertise in deep learning
- 🔭 Currently exploring advanced neural network architectures and computer vision applications
- ☁️ Strong background in cloud infrastructure & DevOps with extensive experience setting up CICD
- 🚀 Always seeking challenging opportunities to solve complex technical problems
- 🌱 Continuous learner passionate about cutting-edge ML/CV research
- 📖 "nemo" means "nobody" in Latin - a nod to Jules Verne's "The Mysterious Island" (childhood favorite)
- 🎨 Hobbies: chess, go, photography, drawing, guitar
- ⌨️ Mechanical keyboard enthusiast
- 🎮 Gaming interests: Commandos and StarCraft II
- Focus: Machine Learning, Computer Vision, Deep Learning, X-ray Imaging, CICD
- Seeking: Challenging opportunities to contribute to impactful projects
- Tools & Technologies: OpenCL, OpenCV, Qt, Docker, k8s, k9s, GKE, GCP, Terraform, DataDog
- Languages:
Machine Learning & Computer Vision:
- Deep Learning (PydanticAI, Keras, TensorFlow, PyTorch,...)
- Image Classification, Object Detection, Image Segmentation, Feature Extraction, ...
- Fimiliar with Transfer Learning, Reinforcement Learning, Generative Models, LLMs, ...
- Familiar with Computer Vision Libraries: OpenCV, scikit-image, NumPy, Pandas, Matplotlib, ...
Cloud & DevOps:
- ☁️ Cloud Orchestration: Docker, Kubernetes, k9s, GCP with expertise in deploying and scaling cloud workloads
- 🏗️ Cloud infrastructure: Terraform for automated cloud provisioning and management
- 🔄 CI/CD Expertise - TeamCity, Jenkins, Google Cloud Build with extensive experience designing and implementing automated workflows
