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As a founding member of the engineering team at Space and Time, I played a pivotal role in architecting and building a cutting-edge verifiable compute layer that integrates AI and blockchain technologies. We designed and implemented a novel data warehouse using Apache Ignite, Apache Spark, and Delta Lake, achieving a functional product within just six months.Key Contributions:• Data Infrastructure Development: Designed and deployed the foundational data warehouse architecture, leveraging advanced technologies such as Apache Ignite, Apache Spark, and Delta Lake to enable robust and scalable data management.• Deployment Automation: Created initial Helm charts to automate the deployment of the data warehouse, ensuring rapid and repeatable deployments across different environments.• Multi-Cloud Kubernetes Standardization: Built standardized Kubernetes clusters across AWS, Azure, and GCP, facilitating seamless cross-cloud deployment and management of our tech stack.• Cloud Marketplace Integrations: Successfully integrated the company’s solutions into major cloud marketplaces (AWS, Azure, GCP), expanding product accessibility and streamlining deployment for end-users.• Infrastructure as Code (IaC): Developed a comprehensive IaaS solution using Terraform and Terragrunt, automating cloud resource provisioning and management to enhance operational efficiency.• DevOps & CI/CD Pipelines: Established and maintained DevOps pipelines to standardize the build process, ensuring consistent and reliable software delivery across development, testing, and production environments.My expertise across data domains has been integral to delivering high-performance, resilient solutions that support the company’s mission to revolutionize the intersection of AI and blockchain.

As a key member of the Data Operations team, I played a pivotal role in ensuring the integrity and accessibility of critical data across our organization. I successfully diagnosed and resolved a long-standing data corruption issue in our production database that had impacted the application for over five years. This solution stabilized our systems and improved data reliability for stakeholders.In addition, I spearheaded the design and implementation of a new analytics infrastructure that automated the generation of custom reports for the analytics team, eliminating the need for manual intervention and streamlining reporting processes. I also developed a unified data access solution that provided performant SQL queries across disparate data sources, serving as the backbone of the company’s Business Intelligence platform at the time of my departure.

Took time off of work to immerse myself in the data domain with Springboard Learning's Data Science Career Track.

Sourced US based sales and investment leads for pre-seed startup. Developed pitch deck and related investor materials. Developed executive summary distributed to sales leads.

Checked fixture clearances in CAD. Completed part processes and time studies on CNC lathe parts.