Hello, I am a Technical AI Product Owner with strong Applied AI, Delivery & Innovation skills. I can build and ship what I spec.
I've developed, owned, and shipped greenfield AI services featured at CES and DTW. These public services shipped to all Dell AI PC customers.
I've also originated and owned an AI Product Innovation (R&D) portfolio. As a Certified Innovation Manager and first-named inventor on 22 AI product patent applications, I embed collaborative innovation into the SDLC, so products don't just ship, they evolve.
I have delivered software with teams distributed across the Americas, Europe, and Asia, working cross-functionally with UX, DBA, DevSecOps, E2E, Support, Legal, Vendors and External Counsel from the start. I have a record of hunting down blockers and communicating trade-offs clearly to leadership.
From time to time I also act as a Trainer, striving to foster a culture of continuous learning, so the people behind the products grow alongside them.
Credentials
- MSc Management Information Systems (MIS)ASE Bucharest
- PSM IIscrum.org
- PSPO IIscrum.org
- Innovation Manager (ANC)Ministry of Education - Romania
- Trainer (ANC)Ministry of Education - Romania
- Entrepreneurship & InnovationHarvard Business School Online (HBSO)
Next Steps
I'm looking for a Technical AI Product Owner, AI Project Manager, or AI Delivery role. The scope matters more to me than the title or where I sit.
Experience Overview
5 years of software development as an IC, including:
- 3 years coordinating agile teams across delivery and research, while shipping as a developer
- 2 years owning production AI services and an AI Product Innovation (R&D) portfolio
Technical Overview
My depth is in Applied AI and full-stack delivery, so I can often ship working prototypes or production components by myself. Beyond that, I partner with specialists. Finding the right co-inventors and teammates is part of how I ship.
Technical Stack
- Applied AI
- LLM, SLM, ASR, and Embedding Models, AI Agents, MCP, RAG, Vector Databases, OpenAI SDK, ONNX, Hybrid Edge AI, Self-hosted and NPU/GPU Local AI Services
- Back-end
- .NET/C#, SQL, Python, FastAPI
- Front-end
- Next.js / React
- Deployment
- GitHub or GitLab CI/CD, Azure or Vercel
Recommendations
Experience
Technical AI Product Owner (R&D)
Project: Hybrid AI Product Innovation Portfolio — team of 10.
Delivery Model: Kanban
Once the Hybrid AI platform stabilized, I took the initiative and built the foundation for an AI Product Innovation (R&D) portfolio spanning Hybrid AI products.
None of this stayed on paper. Many of these concepts ship today as production components through Dell's publicly disclosed AI-native product foundry.
Development & Outcomes
- Initiated and led a VP-funded AI Product Innovation (R&D) initiative as an IC. Originated and contributed to over 35 software feasibility prototypes across .NET/C#, Python, ONNX Runtime GenAI, OpenAI SDK, and Next.js.
- Filed 22 patent applications as first-named inventor and ranked as Dell Romania's most active inventor. I am also the first-named inventor on 13 other completed internal inventions that are currently being considered for inclusion in engineering roadmaps.
- Received company-issued proof for all inventions and can share it on request until the filings begin publishing in July 2027.
Ownership
- Originated product concepts aligned with the company's public AI strategy: building AI into its products, applying AI to its internal systems and processes, and delivering AI with its partner ecosystem. Killed the concepts that didn't serve one of these three directions.
- Built the portfolio from zero to one. Owned the portfolio, its backlog, business cases, PRDs, initial solution architectures, and a 4-phase research roadmap prioritized using Evidence-Based Management principles.
- In practice, I owned the research, innovation, and prototyping that fed into 8 products, commercial products and internal tools managed by PDMs.
People & Delivery
- Held 6 presentations within my division. As a result, recruited 9 voluntary co-inventors, Principal Engineers specialized across Security, ML, Data Science, Infrastructure, and Hardware. Ran the globally distributed group as a self-managing team.
- Coached engineers across the division on innovation, AI-native coding, and the fundamentals of applied and on-device AI.
AI Developer & Technical Scrum Master
Project: Hybrid AI Platform.
Delivery Model: Scrum@Scale
I moved into a new AI division focused on product development. It needed mid service developers who could work closely with ML Engineers, Data Scientists, Hardware Teams, Consumers, and at times external partners.
I was a developer in one Scrum team, building my own services, and the Technical Scrum Master of another, a 4-person squad that owned other AI services.
Development & Outcomes
- Owned and built 6 OpenAI-compatible AI services (ASR, SLM chat, function-calling) on ONNX Runtime, with inference running on NPUs and GPUs across AMD and Qualcomm hardware. I owned their research, development, testing, model validation (MMLU/WER), and deployment (referencing templates), using mostly pre-optimized models, plus a few I exported myself with vendor-specific tooling.
- Delivered Dell's first NPU-based ASR service from zero to production in 4 months. It was followed by Dell's first ONNX-based SLM services on both AMD and Qualcomm hardware in 5 months.
- Owned and built 2 function-calling services that enabled Agentic Edge AI across all Dell AI PCs with AMD and Qualcomm hardware, the most performant Dell had on either platform at the time and the default for a year.
- The function-calling services cut the development time of Agentic Edge AI applications by 80% on those systems according to public communications. They also strengthened data privacy and eliminated recurring cloud costs for Dell's clients, which further differentiated its AI PC offerings.
- These commercial, user-facing services shipped to every Dell AI PC customer and powered capabilities showcased at CES and DTW. Within months of launch, every service was adopted by customers, including teams that couldn't use AI before because of privacy concerns, regulations, or high costs.
People & Delivery
- Added technical detail to the squad's user stories and tasks based on discussions with the EM, PDM, TPM, and at times external partners.
- Resolved cross-team dependencies and integration defects with 5 partner Scrum teams (ML, HW, Consumers), working across 4 time zones.
- Facilitated the Daily Scrum and cleared the squad's technical and process impediments through pair programming and collaboration.
- Onboarded 3 new developers and coached them in on-device AI, team processes, and debugging across heterogeneous AI PC fleets. Two of them stayed core members of the division's product development initiatives.
Software Developer
Project: Web Platform Modernization, Digital Transformation Program — Scrum team of 4, one of 20+ teams.
Delivery Model: SAFe Scrum
I was promoted to mid as part of a small group trusted with application development and cross-team collaboration. By then I already owned Web APIs used by 6 other teams, so I was given a squad to help me extend them.
I led that 4-person squad comprised of newer engineers, recent joiners, and interns, with my EM managing many squads.
Development & Outcomes
- My team owned end to end the .NET Web API services behind 3 operator-facing modules, built from scratch to replace legacy components.
- From release, our services powered modules used by all of Dell's factory engineers across the Americas, EMEA, and APAC, retiring the legacy ones.
- Owned the non-functional requirements, observability, defect triage, and GitLab CI/CD for every service my squad shipped.
People & Delivery
- Added technical detail to the squad's user stories and tasks based on discussions with the EM, PDM, TPM, and at times internal business stakeholders.
- Planned releases with the EM, PDM, and TPM, and was the development point of contact for testing teams, UAT, and the 6 Scrum teams (consumers).
- Resolved cross-team dependencies and integration defects while working with stakeholders distributed across 4 time zones.
- Facilitated the Daily Scrum and cleared the squad's technical and process impediments through pair programming and collaboration.
- Onboarded 7 developers: 2 interns who were hired as full-time juniors, a senior who later became team lead, and 4 juniors across the program.
Junior Software Developer
Project: .NET Rotation across 4 Scrum teams in a Digital Transformation Program of 20+ teams.
I had more ideas than the skills to build them, so I took a developer role to close the gap.
- Built .NET Web APIs and automated their testing and deployment with GitLab CI/CD pipelines.
- Took ownership of a production microservice within 6 months. Never missed a release since, including through the later modernization program.
- Followed the Strangler Fig pattern and TDD so every new component matched its legacy counterpart before replacing it.
Software Developer Intern
- Learned software development principles and processes.
- Took part in building IRT systems with .NET, LINQ, Entity Framework, and ASP.NET MVC.
Education
Harvard Business School Online (HBSO)
Other; Certificate of Specialization in Entrepreneurship & Innovation
Apr 2026 - Aug 2026
A 16-week, 100-hour program focused on turning disruptive ideas into viable products and services.
- Design Thinking and Innovation: user research, problem framing, structured ideation across product, service, and business models, and MVP prototyping.
- Disruptive Strategy: disruption theory, Jobs to Be Done, and evaluating opportunities and outcomes through emergent strategy.
- Transforming Customer Experiences: designing customer experiences, and leading the teams and operating model that deliver them.
Skills:Innovation ManagementProduct ManagementStrategyDesign ThinkingTeam Enablement
Faculty of Economic Cybernetics, Statistics and Computer Science, ASE Bucharest
Master's degree, Management Information Systems (MIS)
Thesis: An applied case study on application modernization and the impact of microservices and modular monoliths on team dynamics and operations.
Skills:Project ManagementAgile Application DevelopmentData-driven Decision Making
Faculty of Economic Cybernetics, Statistics and Computer Science, ASE Bucharest
Bachelor's degree, Computer Science for Business
Final Project: Developing data-driven decision-making applications with Microsoft Blazor.
Extracurricular: Recruited and coached students across 10 projects that prepared them for IT jobs. Also took part in student innovation projects.
Skills:Project ManagementWeb DevelopmentDesktop DevelopmentMobile Application Development