Electronics & Computing
Building high-performance workstations, home servers, networking infrastructure, and custom electronics projects. From Raspberry Pi clusters to enterprise-grade network setups for data analysis and AI workloads.
High-Performance Computing
Raspberry Pi 5 - Latest generation single-board computer
Custom Computing Solutions
Designed and built custom computing infrastructure for handling large scientific datasets, including high-performance workstations for image analysis and AI home servers for machine learning workloads.
- High-performance workstations with GPU acceleration
- Home server infrastructure for data storage and processing
- Raspberry Pi clusters for distributed computing
- Custom cooling solutions and power management
Networking Infrastructure
Enterprise-grade networking setup designed for high-bandwidth data transfer, low-latency access to large datasets, and secure remote access. Optimized for scientific computing and data analysis workflows.
Network Design
Custom network architecture with VLANs, managed switches, and redundant connections for reliable data access.
Storage Solutions
Network-attached storage (NAS) systems with RAID configurations for data redundancy and high-speed access.
Security
Firewall configuration, VPN access, and network segmentation for secure data handling and remote work.
Monitoring
Real-time network monitoring, performance metrics, and automated alerting for system health.
AI & Machine Learning Infrastructure
Dedicated hardware for training and deploying machine learning models, particularly for image analysis and large-scale data processing in scientific applications.
- GPU Workstations: NVIDIA GPUs for accelerated image processing and deep learning
- Home AI Server: Dedicated server for running inference and batch processing
- Docker Containers: Containerized environments for reproducible analysis pipelines
- Data Pipelines: Automated workflows for preprocessing, analysis, and visualization
- Cloud Integration: Hybrid local/cloud setup for scalable computing
Applications in Scientific Research
These computing skills directly translate to scientific workflows:
Large Dataset Analysis
Processing terabytes of microscopy data from light-sheet imaging and whole-brain tissue clearing experiments.
Image Processing
GPU-accelerated 3D cell segmentation, registration, and quantification of biological samples.
Single-Cell Sequencing
Computational analysis of single-cell RNA-seq data with custom pipelines and clustering algorithms.
Interested in Data Infrastructure Consulting?
I offer consulting services for building high-performance computing infrastructure and data analysis pipelines.
Learn About Consulting Services