Agentic Delivery, Continuous Feedback, and Rapid Prototyping
AI-First MVP Development
- Built an Agentic AI-powered bill inspection MVP in just two weeks, integrating autonomous sprint execution with Jira automation.
- Leveraged context-aware Nest.js/Next.js agents for rapid code scaffolding, PR reviews, and AWS Amplify deployments.
- Spun up interactive UI/UX mockups in hours using v0.dev agents, enabling instant stakeholder feedback and design iteration.
Closed-Loop Model Refinement
- Created a seamless feedback loop between AI extraction and human review, instantly feeding corrections back to the model.
- Automated dataset creation to accelerate LLM improvement cycles and reduce manual intervention.
- Ensured continuous enhancement of structured data accuracy through iterative validation.
Strategic Outcomes
- Delivered a future-ready bill inspection platform with accelerated time-to-market.
- Reduced dependency on manual review while improving AI accuracy at scale.
- Enabled full adoption of AI-first development practices across the client’s engineering team.