Catalin Caldararu

I spend half of my time leading and developing an Applied AI intellectual property (IP) portfolio consisting of 25 differentiated Hybrid AI, On-device AI and Agentic AI software product concepts, working with a core team of six inventors and multiple legal teams. Each product can be applied across one of eight domains: Efficiency, Resilience, Security, Privacy, Accessibility, Personalization, Field Operations, and Agent-Native SDLC. Key responsibilities:

• Initiate and develop patentable AI product concepts aligned with Dell's AI Strategy and roadmaps, targeting competitive differentiation, defensible IP positions, and potential growth vectors.
• Define portfolio and product strategies by identifying underserved technological whitespace and novel positioning opportunities, aligning with the company's strategy and discontinuing IP initiatives when necessary.
• Drive the patent development process from opportunity discovery through iterative refinement, including business‑case development, use‑case and persona definition, technical design, and visual prototyping.
• Own, refine, and prioritize the IP backlog using Kanban and Evidence-Based Management principles.

I spend half of my time as a core contributor to the on‑device SLM and Automatic Speech Recognition services that power privacy‑first, on‑device Conversational AI for Dell AI PCs. In this position I focus on Applied AI and inference rather than model training. These services enable internal teams, customers, and ISVs to rapidly deploy on‑device and hybrid Agentic AI solutions across heterogeneous AI PC fleets, and are part of Dell's AI PC platform, featured at CES, DTW, and GTC. Key responsibilities:

• Design, develop and deploy on‑device inference pipelines for ONNX models using Microsoft ONNX Runtime GenAI and various execution providers such as AMD Ryzen AI, Qualcomm QNN and Intel OpenVINO.
• Write tests to evaluate the performance, accuracy and temporal drift of on‑device Conversational AI responses to ensure that the systems remain efficient and accurate after updates of models, drivers and packages, and that they continue to meet a certain level of accuracy across known benchmarks such as MMLU.
• Contribute to the development of a unified install process meant to streamline the delivery of on‑device Conversational AI across heterogeneous fleets.
• Serve as one of two IC engineering points of contact within my area of expertise, representing the development team in discussions with senior leaders from Dell's Software Engineering and CTO organizations and external partners, and translating their requirements into user stories.
• Perform defect triage and root‑cause analysis of failures in on‑device AI systems.

Core contributor to an enterprise web platform that enabled large customers to order fully configured, ready‑to‑use PCs. Key responsibilities:

• Designed, developed and deployed 15 .NET Web APIs in collaboration with eight service teams, integrating capabilities across the platform and helping unify a previously fragmented ordering experience.
• Served as a development point of contact for UAT and E2E testing, triaging and resolving cross‑service defects that would otherwise escalate to principal engineers.
• Onboarded seven developers, transferring product knowledge and reducing the team's reliance on tech leads for day‑to‑day operational decisions.
• Also contributed to the development of React Front-ends and GitLab CI/CD pipelines.