#4142 Job Review Bullets and Planning

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#4142 Job Review Bullets and Planning

#4142 A. Rewrite the following as bullet points for my annual review and planning: I have pro-actively and by assignment applied AI to my daily and ongoing S&MA work for NASA. I have helped and encourage others to learn AI. B. I plan to continue applying AI in my ongoing review of NASA program documents, automating review workflows, and creating review assistants

Annual Review: AI Integration & Strategy

Key Accomplishments

  • Proactive AI Implementation: Successfully integrated generative AI into daily Safety & Mission Assurance (S&MA) workflows, both through self-directed innovation and assigned mission tasks.

  • Organizational Upskilling: Actively mentored and encouraged colleagues in the adoption of AI, fostering a culture of continuous learning and technical literacy across the team.

Future Objectives & Planning

  • Document Intelligence: Expand the use of AI for the rigorous review of NASA program documents, ensuring higher precision and faster identification of safety-critical data.

  • Workflow Automation: Design and deploy automated pipelines to streamline complex review processes, reducing manual overhead and cycle times.

  • Custom AI Assistants: Develop specialized, agentic review assistants tailored to specific S&MA requirements to provide real-time decision support.

Would you like me to refine these further by adding any specific tools you've used, such as Wolfram Language or Knowledge Graphs, to highlight your technical depth?


You said

Semantic Search, RAG and Knowledge Graphs

Technical Accomplishments

  • Advanced S&MA AI Integration: Proactively applied Semantic Search and Retrieval-Augmented Generation (RAG) to NASA S&MA workflows, transforming how mission-critical data is accessed and utilized.

  • Knowledge Graph Development: Engineered Knowledge Graphs to map complex relationships within NASA program data, providing a structured foundation for more accurate AI reasoning and safety analysis.

  • Mentorship & Capacity Building: Actively led initiatives to educate and encourage peers in the practical application of these AI architectures to enhance organizational technical maturity.

Future Strategy & Innovation

  • Intelligent Document Review: Leverage RAG-driven workflows to automate the ongoing review of NASA program documents, ensuring high-fidelity extraction of safety requirements and mission constraints.

  • Automated Workflow Orchestration: Integrate Semantic Search into standardized review pipelines to reduce manual discovery time and increase the consistency of S&MA evaluations.

  • Next-Gen Review Assistants: Develop agentic assistants that utilize Knowledge Graphs to provide context-aware insights, enabling real-time cross-referencing of safety protocols across disparate datasets.

Would you like me to draft a summary of your Idea Miner project or your work with Mathematica to further demonstrate how you bridge the gap between AI and engineering?


From <https://gemini.google.com/app/03de8a4696be624f>  Google Gemini 3.0 Pro (Fast)

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