DevWorks

Work

Employer projects, reframed as proof of work: challenge, approach, and impact, without confidential specifics.

527

isolated backend tests

Hardening a CRM for Secure, Reliable Daily Operations

A growing CRM needed stronger security boundaries, more dependable contact and deal workflows, and a deployment foundation that could support continued product development without putting customer data or operational continuity at risk.

01

Connecting Network Data Across Enterprise Platforms

A network-management application depended on data spread across ServiceNow, GraphQL services, and local tooling. Engineers needed reliable synchronization, faster UI access, and a repeatable local environment while services were moving from proprietary systems to third-party platforms.
1 week
02

Modernizing a Regulated Bank's API and Application Layer

A regulated banking platform was running on an aging API gateway and a monolithic application layer. Every change carried compliance risk, releases were slow, and the team needed a path off legacy infrastructure without disrupting a live, regulated system.
0
03

Rebuilding a Global Hardware Brand's Partner and Developer Portals

A global hardware brand's partner and developer-facing portals ran on an aging PHP/Drupal stack that was slow to update, difficult to internationalize, and falling short on accessibility and SEO fundamentals for a global developer audience.
2
04

Shipping Features Under Enterprise QA Rigor for a POS Platform

A global electronics manufacturer's point-of-sale platform needed new features shipped against enterprise-grade quality bars, plus real internationalization (including Arabic RTL layouts), all without regressing a system retailers depend on at the register.
2
05

Migrating a Real-Time Stock Data Product off Django

A regional stock exchange data product was built on Django and PostgreSQL, with a real-time feed parser that was becoming a bottleneck as query volume grew. The stack needed to move to a more scalable foundation without interrupting a live, time-sensitive data product.
40%