TypeScript & JavaScript
Customer portals, operational dashboards, and connected web products.
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Python
AI orchestration, data processing, workflow automation, model evaluation, and application APIs. A practical bridge between business data and production software.
FastAPI · Django · PyTorch · pandas
Discuss your projectA processing job should be restartable
Illustrative import run
- Receive supplier file → store original
- Validate rows → separate rejected records
- Transform accepted rows → stage results
- Reconcile totals → publish approved output
Python is useful where software meets business data. The important design choice is often how work is scheduled and recovered: short requests can return immediately, while larger imports or document jobs should expose their progress and result separately.
Turn a script into an operated service
Inputs you can explain
- Record file format and schema version.
- Preserve source rows for reconciliation.
- Make invalid data visible to its owner.
Outputs you can trust
- Check totals before publication.
- Prevent duplicate effects on rerun.
- Record which code version produced the result.
Your project, scoped around the outcome
Build with Python
Versioned processing code, job monitoring, and validation against representative input data.
Talk through the scopeRelated technologies
C# & .NET
Business services and internal applications connected to Microsoft environments.
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Enterprise services and native Android applications.
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Native Apple applications with platform-specific interactions and device features.
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