Our team is commited to creating new technologies, providing community education and interships for scientific, ai, & education development, and creating research using state-of-the-art and open-source systems to support the development of sustainable long-term AI/ML and Cloud platforms.
¶ Leadership in Technology
| Jacob Haig | Joe Wisneski | Aaren Lovelady |
|---|---|---|
| Founder & Chief Engineer |
Founder & Chief Data Architect |
Founder, FinOps & Systems Automation Architect |
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Expertise in DevOps and ML Ops, excelling in optimizing scalable pipelines using cutting-edge technologies like Azure ML, Git, and Docker, paired with a profound command over machine learning frameworks and languages such as sklearn, xgboost, and Python. Deep knowledge in data engineering, specializing in advanced ETL processes using Informatica and SQL Server, ensuring data management and enhanced decision-making accuracy. A relentless innovator and lifelong learner in technology, renowned for creative brilliance in application design, server management, and continuous exploration of emergent technological trends and methodologies. LinkedIn: https://www.linkedin.com/in/jacobhaig/ |
Democratizing technology through open-source AI and data solutions. With extensive experience architecting AIOps and observability solutions for Fortune 100 companies across finance, defense, energy, and healthcare sectors, he brings enterprise-scale expertise to grassroots innovation. Technical accomplishments include building and productionalizing Kubeflow machine learning operations environments on advanced GPU computing platforms and deploying AI inference models for manufacturing anomaly detection. His technical expertise spans Python, Go Lang, Docker, Kubernetes, and major observability platforms, combined with deep knowledge of streaming technologies and AIOps systems. By creating free, open alternatives to expensive proprietary systems, he enables smaller organizations and individuals to leverage sophisticated AI and data capabilities. His guidance to developing Uhstray.io’s approach balances technical depth with strategic thinking, emphasizing iterative development and consensus-building across organizations. His work represents both technical innovation and social progress, creating pathways for technology independence that challenge traditional models of software ownership and access. LinkedIn: https://www.linkedin.com/in/joseph-a-wisneski-iv |
Experience bridging manufacturing automation systems with cloud-based AI platforms while maintaining proficiency in Python, automation technologies (GitHub Actions/Apache Airflow), and cloud-native infrastructure (Kubernetes/Docker). With a proven track record of conducting ROI analyses that quantify operational cost savings through automation initiatives, developing financial models for capital expenditures, and translating complex technical architectures into measurable business outcomes. This unique combination of manufacturing domain knowledge, cloud architecture expertise, and business acumen enables architecting business-as-code solutions that help small businesses modernize legacy production systems while minimizing risk and capital requirements—empowering them to own their technology stack and scale at their own pace. LinkedIn: https://www.linkedin.com/in/aaren-lovelady-72b39528a/ |