AI & Machine Learning
Machine learning engineering, generative AI applications, retrieval-augmented generation, natural language processing, computer vision, MLOps, model monitoring, and AI governance.
Twelve technology capabilities spanning intelligent systems, engineering assurance, enterprise platforms, and emerging innovation.
An integrated portfolio spanning intelligent systems, modern infrastructure, software delivery, enterprise operations, and specialized technical support.
Machine learning engineering, generative AI applications, retrieval-augmented generation, natural language processing, computer vision, MLOps, model monitoring, and AI governance.
Independent assessments, test strategy, requirements traceability, integration and acceptance testing, automation frameworks, performance engineering, accessibility, and quality metrics.
Data pipelines, ETL/ELT, data warehousing, lakehouse architecture, data governance, visualization, predictive analytics, and real-time intelligence.
Cloud architecture, hybrid and multi-cloud operations, infrastructure as code, container orchestration, observability, cost optimization, backup, and disaster recovery.
Linux server engineering, Windows Server administration, Active Directory, Group Policy, DNS/DHCP, patch management, virtualization, configuration management, monitoring, and high availability.
Full-stack applications, APIs and microservices, modern web platforms, CI/CD pipelines, secure software delivery, automated deployments, and systems integration.
Security architecture, identity and access management, vulnerability management, endpoint hardening, security monitoring, zero-trust principles, and compliance support.
Technical staff augmentation, specialized talent sourcing, project-based teams, engineering support, workforce planning, and scalable delivery models.
Exploration of uncrewed aerial systems, remote sensing, mapping, geospatial data workflows, inspection applications, and sensor integration.
Exploratory interests in autonomous platforms, digital twins, simulation environments, edge computing, resilient communications, and decision-support systems.
Network architecture, LAN/WAN operations, routing and switching, wireless networks, secure connectivity, performance monitoring, and infrastructure modernization.
Workflow orchestration, robotic process automation, enterprise integrations, IT service management, configuration automation, and process optimization.
A custom automation testing stack designed and built by our founder to test system interfaces and validate reports — reducing manual effort and producing repeatable, evidence-ready results.
Connect with SIS to discuss technical needs, collaboration, or teaming opportunities.