AI Software Developer

I spend one-third of my time leading the development of an Applied AI Intellectual Property (IP) portfolio that I initiated, which includes 35 formally documented AI product invention initiatives spanning Agentic, Edge, Hybrid Edge‑Cloud, and Cloud AI capabilities. To date, this work has produced 12 USPTO patent filings (10 as first inventor, 2 as co‑inventor) and 8 internally recognized inventions. Key responsibilities include:

• Leading the invention work by initiating new ideas, contributing directly, and coordinating with a core team of 4 repeat inventors and multiple legal specialists.
• Driving the patent development process from market‑opportunity discovery through concept refinement, business‑case development, technical design, and collaborative iterative improvement.
• Defining the portfolio, patent, and product strategies by analyzing trends, constraints, and trade‑offs across on‑device, hybrid edge‑cloud, and cloud AI deployment models. This includes articulating the alignment with the company's technology strategy and discontinuing initiatives when necessary.
• Originating AI product concepts that can create competitive advantage, support legal defense, or generate revenue through direct sales, licensing, or strategic partnerships.
• Applying agile product‑ownership principles to prioritize the IP backlog and estimate key product metrics, including current value, unrealized value, time to market, and innovation potential.
• Creating detailed technical architectures that enable independent execution by engineering teams, ensuring that ideas can be delivered with minimal oversight.

Overall, this work has helped me build strong product awareness and cross‑functional collaboration skills within a Fortune 500 engineering environment.

I spend two‑thirds of my time as part of the core engineering team behind a greenfield platform for on‑device, hybrid edge‑cloud, and agentic edge AI. Key responsibilities include:

• Serving as the primary contributor to six SLM‑based conversational AI services and two automatic speech recognition (ASR) services targeting CPU, NPU, and GPU hardware of two major AI hardware vendors. Three of these services were 0‑to‑1 developments, and several became either the only Dell solutions in their hardware class or the most performant at delivery.
• Acting as lead developer and primary contributor for all SLM‑based services delivered on Dell devices through a partnership with a leading AI hardware vendor, collaborating directly with external stakeholders and Dell's CTO organization.
• Evaluating AI model performance, behavior in specialized tasks (e.g., MMLU), and robustness against adversarial inputs.
• Contributing to core SLM and ASR components used in Dell's AI PC platform, which was showcased as a flagship AI initiative at major industry events (CES, Dell Tech World, etc.).

Overall, this work has grounded my product thinking in what's actually buildable, giving me the capability to execute and contribute to development initiatives rather than just conceptualize them.

Started by gaining a strong foundation in .NET Web API development, GitLab CI/CD automation, automated testing, and application observability. Over time, I took on more responsibility, delivering multiple .NET microservices end-to-end, mentoring three interns, onboarding four developers, and collaborating closely with cross-functional teams including with engineers from 8 other service teams and multiple business stakeholders.