I build resilient, modular AI systems.

ML Engineer & DevOps · Lead Developer

• Lead developer of an internal end-to-end computer vision platform handling image warehousing, collaborative annotation, dataset exploration, and model registry.
• Architected and deployed a sovereign, cloud-independent platform on self-managed bare-metal Kubernetes.
• Expanding the platform with a self-hosted LLM agentic layer and MCP integration, enabling users to orchestrate complex CVOps workflows, like autonomous dataset generation and distributed labeling campaigns, entirely through natural language.
• Developed a core PyTorch library for detection and segmentation, integrated directly into the platform as the training foundation.
• Engineered strategies for massive-scale satellite and drone imagery, including multi-resolution pyramids and memory-constrained inference.
• Implemented rigorous CI/CD pipelines across multi-repository environments (GitLab) to automate deployments and eliminate single points of failure.

Data Scientist (Intern)

Developed and evaluated object detection models on drone imagery for precision agriculture. Optimized training datasets to achieve a 50% reduction in false detections compared to previous campaigns.

Software Developer (Intern)

Developed hosting platforms for data visualization tools and time-series dashboards processing data from IoT sensors.