AI Software Developer

I spend half of my time leading and developing an Applied AI intellectual property portfolio of 25 software product concepts, each built with one of the following architectures across one of the following domains: Architectures: Hybrid AI, On-device AI, Agentic Systems, Agent-Native Software Domains: Orchestration, Security, Observability, Resilience, Accessibility, Field Operations, Personalization, Content Intelligence, Data Management and SDLC Workflows All 25 received funding to be filed as patents or were already filed. I own the portfolio's strategy, prioritization, and lifecycle, and contribute directly alongside a core team of five inventors and multiple legal teams. Key responsibilities:

• Initiate and develop AI product concepts aligned with Dell's AI Strategy, targeting competitive differentiation, defensible IP positions, and potential growth vectors.
• Drive the patent development process from opportunity discovery through iterative refinement, business‑case development, technical design and visual prototyping.
• Identify underserved technological whitespace and novel positioning opportunities, aligning initiatives with company strategy and discontinuing them when necessary.
• Manage the portfolio backlog using Kanban and EBM to maximize long‑term strategic value.
• Create detailed technical architectures that enable independent execution by engineering teams.

I spend half of my time as a core contributor to the SLM and ASR services that power privacy‑first, on‑device conversational AI for Dell AI PCs. I primarily use Microsoft ONNX Runtime GenAI (OGA) with execution providers such as AMD Ryzen AI, Qualcomm QNN, Intel OpenVINO, and NVIDIA CUDA. These services enable enterprises to run AI workflows without cloud dependency and are part of Dell's AI PC platform, featured as a flagship AI initiative at CES, DTW, and GTC. Key responsibilities:

• Design and implement on‑device AI inference pipelines for open‑source ONNX models, enabling efficient execution across heterogeneous CPU, GPU, and NPU hardware.
• Contribute across the full development lifecycle and the entire platform, from requirements discussions with external partners through model evaluation (e.g., MMLU) to implementation and deployment.

I was part of a team building an enterprise web platform that allowed large customers to order fully configured PCs that business professionals could use immediately. The platform supported pre‑shipment configuration of operating systems, applications, and hardware options, maintaining configuration continuity across repeated orders as hardware and software evolved. Key responsibilities:

• Collaborated across eight service teams to design, develop, and operate system configuration workflows and cross‑cutting services.
• Served as a point of contact for UAT and E2E testing in non‑production environments, fixing defects and performing hands‑on triage and root‑cause analysis across services, configuration data, and test environments.
• Built a strong foundation in CI/CD and observability, leveraging GitLab pipelines, automated testing, and observability tooling to improve service reliability and surface configuration issues earlier in the delivery lifecycle.