
Yohann Paris contributed to the DARPA-ASKEM/terarium and askem-beaker repositories, delivering robust features for model evaluation, data enrichment, and deployment automation. He engineered backend and frontend solutions using Java, TypeScript, and Vue.js, focusing on API development, containerization, and CI/CD workflows. His work included streamlining model comparison, automating PDF extraction, and enhancing dataset management, which improved data accuracy and user experience. By refactoring legacy components, standardizing Docker deployments, and simplifying service configurations, Yohann reduced operational complexity and improved reliability. His technical depth is evident in the breadth of features delivered and the stability improvements achieved across complex, multi-service environments.

April 2025 monthly highlights: Delivered key platform improvements focused on deployment reliability, architecture simplification, and streamlined service configuration across two DARPA-ASKEM repositories (askem-beaker and terarium). Highlights include standardizing multi-arch Docker publishing with updated Dockerfile.minimal and publish workflow; removing Neo4j and provenance tracking to reduce maintenance and complexity; and MIRA integration cleanup with service configuration updates to improve consistency and deployment speed. These changes improve business value by enabling faster, more predictable deployments and simplifying operational overhead.
April 2025 monthly highlights: Delivered key platform improvements focused on deployment reliability, architecture simplification, and streamlined service configuration across two DARPA-ASKEM repositories (askem-beaker and terarium). Highlights include standardizing multi-arch Docker publishing with updated Dockerfile.minimal and publish workflow; removing Neo4j and provenance tracking to reduce maintenance and complexity; and MIRA integration cleanup with service configuration updates to improve consistency and deployment speed. These changes improve business value by enabling faster, more predictable deployments and simplifying operational overhead.
March 2025 monthly summary for DARPA-ASKEM repositories (terarium and beaker). Focused on delivering core features, stabilizing configuration workflows, and strengthening CI/CD and containerization to improve reliability, data accuracy, and deployment speed. Highlights include improved model readability, robust configuration export, UI/UX refinements, and multi-arch deployment readiness.
March 2025 monthly summary for DARPA-ASKEM repositories (terarium and beaker). Focused on delivering core features, stabilizing configuration workflows, and strengthening CI/CD and containerization to improve reliability, data accuracy, and deployment speed. Highlights include improved model readability, robust configuration export, UI/UX refinements, and multi-arch deployment readiness.
February 2025 monthly summary: Across the DARPA-ASKEM repositories, delivered key features and stability improvements with a focus on reproducibility, deployment reliability, and codebase simplification. Major features delivered include MIRA version updates to align environments with the latest fixes, enhanced version tracking for Mira releases, CI/CD configuration improvements to streamline deployments, and notable capability cleanup and feature additions that simplify maintenance and broaden analysis workflows. Major bug fixes also addressed reliability gaps impacting calibration, tests, and data representations, contributing to more robust experiments and user experiences. Overall, these efforts reduce operational risk, accelerate iteration cycles, and enable more dependable scientific workflows for end users.
February 2025 monthly summary: Across the DARPA-ASKEM repositories, delivered key features and stability improvements with a focus on reproducibility, deployment reliability, and codebase simplification. Major features delivered include MIRA version updates to align environments with the latest fixes, enhanced version tracking for Mira releases, CI/CD configuration improvements to streamline deployments, and notable capability cleanup and feature additions that simplify maintenance and broaden analysis workflows. Major bug fixes also addressed reliability gaps impacting calibration, tests, and data representations, contributing to more robust experiments and user experiences. Overall, these efforts reduce operational risk, accelerate iteration cycles, and enable more dependable scientific workflows for end users.
January 2025 (2025-01) – Summary of key outcomes for DARPA-ASKEM/terarium. Focused on stabilizing deployment, improving data tooling and model guidance, and streamlining the UI/grounding experience to deliver measurable business value and developer productivity.
January 2025 (2025-01) – Summary of key outcomes for DARPA-ASKEM/terarium. Focused on stabilizing deployment, improving data tooling and model guidance, and streamlining the UI/grounding experience to deliver measurable business value and developer productivity.
December 2024 (DARPA-ASKEM/terarium): Delivered key features to enhance model evaluation, search, and data visibility, while stabilizing the deployment pipeline and governance documentation. Key feature work includes model comparison enhancements to improve DKG search after equations and streamline re-running of model comparisons; PDF extraction automation to run extractPDF on all text files; project search enhancements that display a project overview to accelerate discovery; asset detail display improvements showing createdOn, type, embeddingType, and shortDescription; and MIRA model comparison enhancements with an updated version reference. Major bug fixes addressed reliability and formatting: GoLLM Model Comparison response formatting corrected; automatic document extraction on model-from-equations removed; and a targeted fix for issue #5918. These efforts reduced manual workload, improved evaluation throughput, and improved data presentation and governance. Additional improvements included UI/UX simplifications (hiding "Open in a new window"), CI/CD workflow tweaks for client artifacts, and governance/document updates. Technologies demonstrated include Go/Java backend updates, controller refinements, automated text extraction tooling, MIRA enhancements, UI/UX considerations, and CI/CD configuration.
December 2024 (DARPA-ASKEM/terarium): Delivered key features to enhance model evaluation, search, and data visibility, while stabilizing the deployment pipeline and governance documentation. Key feature work includes model comparison enhancements to improve DKG search after equations and streamline re-running of model comparisons; PDF extraction automation to run extractPDF on all text files; project search enhancements that display a project overview to accelerate discovery; asset detail display improvements showing createdOn, type, embeddingType, and shortDescription; and MIRA model comparison enhancements with an updated version reference. Major bug fixes addressed reliability and formatting: GoLLM Model Comparison response formatting corrected; automatic document extraction on model-from-equations removed; and a targeted fix for issue #5918. These efforts reduced manual workload, improved evaluation throughput, and improved data presentation and governance. Additional improvements included UI/UX simplifications (hiding "Open in a new window"), CI/CD workflow tweaks for client artifacts, and governance/document updates. Technologies demonstrated include Go/Java backend updates, controller refinements, automated text extraction tooling, MIRA enhancements, UI/UX considerations, and CI/CD configuration.
November 2024 focused on delivering collaboration, discovery, and dataset management capabilities in terarium, while improving stability, performance, and release automation. The work enhances security and sharing controls, accelerates project discovery, enables curated sample datasets, preserves user context across sessions, and tightens the CI/CD and UI polish to support scalable adoption.
November 2024 focused on delivering collaboration, discovery, and dataset management capabilities in terarium, while improving stability, performance, and release automation. The work enhances security and sharing controls, accelerates project discovery, enables curated sample datasets, preserves user context across sessions, and tightens the CI/CD and UI polish to support scalable adoption.
Overview of all repositories you've contributed to across your timeline