AI-Native Product Manager
MS Product Development, Northeastern University | CSPO, Scrum Alliance | Boston, MA
I build AI-powered products and use AI as the primary tool to do it — not as a novelty, but as the actual way I think, analyze, spec, and ship faster. My background spans product lifecycle ownership at MBTA (1M+ daily riders), deploying LLM-powered agentic workflows in production, and writing PRDs that engineering teams can build from without clarification.
Currently focused on AI agent products, agentic workflow automation, and product analytics.
AI Agents and Agentic Workflows
Production deployments using Claude API, LangChain-adjacent patterns, and Python — automating operational workflows, generating structured product insights, and running multi-step reasoning pipelines.
Product Analytics Pipelines
End-to-end data pipelines from raw public datasets (Kaggle, BTS, NAIC, CMS) through to product dashboards and prioritized backlogs — SQL, Python, Splunk, and LLM-assisted synthesis.
Product Specs and PRDs
Technical specifications, user stories, and API-ready requirements that bridge business needs and engineering delivery. Written for complex backend systems and AI-enabled product features.
| Area | Tools and Concepts |
|---|---|
| AI / LLMs | Claude API, LLMs, agentic workflows, prompt engineering, autonomous agents |
| Product | PRDs, user stories, product roadmap, backlog prioritization, usability testing |
| Analytics | SQL, Python, Splunk, KPI frameworks, funnel analytics |
| Design | Figma, prototyping, wireframes |
| Delivery | Jira, Confluence, Agile, SAFe, CSPO, sprint planning |
- AI Product Builder — Solvantis AI Inc (2026 - present)
- Product Analyst — Massachusetts Bay Transportation Authority (2024 - 2025)
- Business Analyst — SEPL (2022 - 2024)
- Assistant Systems Engineer — Tata Consultancy Services (2021 - 2022)
- Co-Founder — Terra (2020 - 2021)