Case study · limited disclosure
Enterprise field platform
Cross-platform field software supporting complex agricultural workflows across mobile and backend systems.
Recreated visual for portfolio presentation. Not the original production interface.
Disclosure: Collaborative enterprise work sourced from Jairo's approved 2026 resume. The visual is recreated and proprietary implementation details remain private.
Product context
Within Luxoft, Jairo worked on Syngenta GHX, a production field platform for U.S. corn and soybean farmers. The cross-platform product supported field scouting, yield analysis, weather and market access, financial planning, and personalized seed-recommendation workflows.
Responsibility
Jairo contributed first across the React Native product and later designed and shipped Node.js and GraphQL services on AWS for the production backend. The work connected mobile behavior, service contracts, data flows, and enterprise delivery constraints.
Engineering challenge
Field software brings complex agricultural workflows into mobile environments where device conditions, network behavior, long-lived backend contracts, and operationally important data all affect reliability. Product and service changes also have to fit a collaborative enterprise release process.
Delivered work
- Cross-platform React Native workflows for agricultural field use.
- Product performance and reliability improvements within an established mobile system.
- Node.js and GraphQL backend services deployed in an AWS environment.
- Clearer boundaries between client state, network behavior, service contracts, and backend responsibility.
Result
The engagement expanded Jairo's responsibility from a mature mobile product into the production services behind it. It demonstrates the ability to move between interface and backend concerns while contributing inside a large, collaborative enterprise environment.
What this demonstrates
Enterprise ownership is not the same as claiming sole ownership. The value here is working effectively across existing systems and teams, making boundaries understandable, and shipping reliable changes without requiring the surrounding platform to be replaced.