Profiles

Worked on FeatherSnap a production AI-powered IoT product used by
thousands of users.
- Developed the Bird Book mobile app using React Native, enabling
subscriptions (Stripe), authentication, and dynamic species recognition UI.
- Integrated real-time AI detection APIs and optimized communication across
devices and cloud, improving response time by ~35%.
- Built internal admin dashboards supporting remote firmware updates,
device grouping, and connected-device management.
- Created Customer Support tools showing battery, signal, and metadata
analytics, reducing resolution times by ~40%.
- Actively contributed to code quality through pull request reviews, enforcing
best practices and reducing technical debt across the frontend codebase.

- Developed an end-to-end logistics platform that generated $2M+ in first
year revenue.
- Created forecasting tools analyzing thousands of carrier datasets to
optimize delivery efficiency.
- Led requirement workshops and product demos, bridging engineering
decisions with business objectives to keep delivery aligned with stakeholder
expectations.
- Improved system reliability and observability using AWS CloudWatch and
helped refine architectural patterns as the system scaled.

- Worked on a large-scale system for a U.S. enterprise to automate predictions
and planning for agricultural freight logistics.
- Built logistics workflows using historical datasets to improve accuracy in
freight planning.
- Implemented dashboards for management teams to visualize predictions
and automate decision-making.
- Streamlined freight planning by automating manual scheduling steps,
reducing operational overhead and accelerating decision cycles for logistics
teams.

- Developed financial automation tools used across multiple Central
American markets and the Caribbean.
- Led and mentored a team of 5 developers, driving adoption of Vue.js best
practices and owning frontend architecture decisions across the project
lifecycle.
- Built a financial automation application that processed tax-related
documents uploaded via CSV/ Excel and generated complex fiscal
calculations automatically.
- Designed workflows that allowed consultants to review and validate
automated computations, drastically reducing manual effort.
- Enhanced processing efficiency, enabling teams to double the number of
monthly declarations handled by the department.