Detailed case study
Global Agricultural Recommendation Platform
A public-safe view into the E-Luminate / GHX Fields / Cropwise ecosystem work for Syngenta, a Global Fortune 500 agribusiness. The engagement combined enterprise platform architecture, cloud modernization, global integrations, product delivery, observability, and production AI.
The business problem
Commercial agriculture platforms carry regional complexity.
Recommendation and sales systems had to account for agronomic data, weather and environmental context, product catalogs, territory rules, discounts, sales hierarchies, branded outputs, and different regional operating models. A one-off app was not enough. The durable value was in platform abstractions that could reduce repeated work while still respecting local market differences.
Architecture map
The system had many moving parts.
This is intentionally described at category level. It captures the shape of the platform without exposing confidential implementation details.
Commercial Web Apps
Seller, agronomic, recommendation, catalog, and field workflows that grew from a regional sustainability tool into global commercial platform work.
Recommendation & Catalog Systems
Whole-farm seed strategy, product catalogs, branded PDF generation, soil/weather/agronomic characteristics, discount and diversification logic.
Enterprise Integrations
Salesforce, SAP, regional sales hierarchies, product catalogs, internal enterprise systems, and territory abstractions shared across teams.
AI Analysis
Root Cause used AI to proactively analyze agronomic and environmental patterns and surface concerns plus mitigations for crop fields.
Cloud Modernization
Migration from Azure click-ops and .NET Framework toward AWS CDK, Fargate, Lambda, API Gateway, VPC segmentation, .NET Core, Node.js, and TypeScript/React.
Operations & Trust
OpenTelemetry, Grafana-backed telemetry pipelines, Prometheus/Mimir, Loki, Tempo, Datadog, Secrets Manager, and SOC 2-ready operational practices.
My role
Architecture and leadership across a long-running enterprise engagement.
Primary technical partner for long-running Global Fortune 500 client delivery.
Architecture and modernization strategy across cloud, services, integrations, data, observability, and UI.
Delivery leadership across product, engineering, client stakeholders, and globally distributed teams.
Mentorship and technical direction for teams moving from bespoke delivery into internal ownership.
Outcomes and signals
Why this case matters for Director / Head of Engineering roles.
- Supported seed recommendation, sales, catalog, and field-analysis workflows across global markets.
- Helped evolve a regional sustainability platform into a strategic commercial platform ecosystem.
- Modernized the stack from Azure/.NET Framework/Knockout toward AWS, .NET Core, Node.js, TypeScript, React, and Infrastructure-as-Code.
- Integrated global enterprise systems including Salesforce, SAP, sales hierarchy abstractions, and internal product/catalog systems.
- Introduced observability and operational practices suitable for SOC 2 audit expectations.
- Led production AI delivery through Root Cause analysis for agronomic and environmental field patterns.
Evolution
From regional tool to global platform ecosystem.
Regional sustainability and recommendation platform foundations.
Became central to North America Seeds digital recommendation workflows.
Moved toward TypeScript/React, .NET Core, Node.js services, AWS, IaC, and observability.
Root Cause used AI to proactively analyze field patterns and surface concerns plus mitigations.
Supported handoff and internal ownership as global teams absorbed more platform responsibility.
Technology evidence
Tools mattered because they supported operational outcomes.
Cloud
AWS CDK, Fargate, Lambda, API Gateway, VPC, Azure migration
Modernized legacy enterprise platforms into repeatable cloud-native infrastructure.
AI
LLM APIs, Root Cause, report generation, vLLM, Ollama
Delivered product AI and built practical AI-assisted engineering workflows.
Observability
OpenTelemetry, Grafana, Loki, Tempo, Prometheus/Mimir, Datadog
Made complex distributed systems understandable, auditable, and supportable.
Enterprise Integrations
Salesforce, SAP, internal systems, sales hierarchy abstraction
Reduced repeated regional complexity across global commercial workflows.
Backend Platforms
.NET, .NET Core, Node.js, REST APIs, Redis, RabbitMQ, Temporal
Designed service boundaries, caching, workflows, and integration surfaces.
Frontend & Mobile
TypeScript, React, Knockout migration, iOS, Android, React Native
Delivered user-facing systems across web, mobile, and offline-first workflows.
Deep Systems
MySQL internals, GPS hardware, geospatial math, rendering/performance
Solved low-level technical problems when the business needed more than framework knowledge.