AI Product Developer

I spend one-third of my time as a lead inventor, actively growing an intellectual property portfolio that I initiated. It consists of more than 25 intellectual property (IP) initiatives, prioritized by commercial value, feasibility, and competitive landscape, and developed in close collaboration with 8 senior inventors and 3 legal specialists. Each initiative represents a potential patent backing a distinct Agentic, Edge, Hybrid Edge-Cloud, or Cloud AI product. To date, this has resulted in 12 patents, including 10 as lead inventor and 2 as co-author.

• Drive the product design and patent development from market opportunity identification through business case development, technical design, and alignment with the company's technology strategy.
• Shape the AI product strategy by evaluating trends, constraints, and trade-offs across on-device, hybrid, and cloud deployments.
• Originate patent-backed AI product concepts that can be leveraged to create competitive advantage, support legal defense, and generate revenue through direct sales, licensing, or strategic partnerships.
• Apply agile product ownership principles to estimate key product metrics, including current value, unrealized value, time to market, and innovation potential.

I spend two-thirds of my time leading the development of new On-device Conversational AI services as part of the core team behind a high-impact, customer-facing greenfield project that enables the seamless integration of On-device AI into existing applications, as well as the rapid development of Hybrid Edge-Cloud AI and Agentic Edge AI solutions.

• Develop multiple AI services deployed to millions of consumer and enterprise devices using C#, .NET, Microsoft AI, the OpenAI API, and pretrained ONNX models.
• Lead the development of three on-device speech recognition services and four on-device multilingual conversational AI services delivered in partnership with two leading AI hardware vendors.
• Develop Agentic Edge AI service components aligned with the OpenAI API specification, including SLM-based reasoning capabilities, voice-driven interaction and function calling.
• Act as the development point of contact for my services, coordinating with test, DevOps, and AI engineers, product and engineering leadership, and external partners.
• Build model and agent evaluation pipelines with tests validating behavior, accuracy, and performance.

Continued working on the same project, taking on additional accountabilities.

• Led the development of one application subdomain, delivering multiple .NET microservices and React micro-frontends while mentoring three interns and onboarding four new developers.
• Owned two C# services and was a key contributor to two additional services used by other teams, collaborating closely with their product owners and technical leads.
• Served as a development point of contact, collaborating with support and test engineers and actively supporting the Product Owner during UAT.

Part of the development team building a web platform to migrate a legacy monolith into a C# microservices ecosystem.

• Contributed to the development of 15+ C# services.
• Built integration and functional tests and automated them through GitLab CI.
• Automated multi-environment deployments with GitLab CI/CD, reducing release complexity.
• Owned and built automated dashboards tracking system health and application performance.