Denzil Gumbo

Guardare's platform depends on integrations with customers' security tools. I built the first ones as a single code project per provider, which made each new integration about a week of work plus deployment.

As Engineering Team Lead, I replaced that with a reusable integrations engine. Every integration (175+ including CrowdStrike, SentinelOne, Microsoft Defender, Palo Alto, and Tenable) is now a JSON definition that covers endpoints, auth, pagination, workflow, data, and schedules. The engine processes 150,000+ normalized security logs a day.

On top of the definitions, I built human-in-the-loop AI agents that author new integrations and troubleshoot existing ones. Every agent change is logged, diffed, and tested against the current version, and an engineer approves it or sends it back. Agents can't publish on their own. A new integration now goes live the same day.

Guardare turns raw security logs into AI-generated risk scores for its customers. Customers and auditors need to know why a score is what it is, not just the number.

I designed and led the Traceability Layer, which makes every AI risk score explainable and audit-ready, so customers and auditors can see how a score was reached.

When Guardare was named AI Startup of the Year 2025 (A.I. Awards), the judges cited the Traceability Layer.

The hospital has some wards that serve outpatients by appointment.
The ward clerks would manage these appointments in a physical ward diary, and only a single user could access it at a time to avoid duplicates. This manual system always resulted in overbooking, underbooking, and overlapping appointments despite all efforts.

I led a team that created a system now used to manage patient appointments across different wards.

As a result, appointments can now be made depending on staff availability and hospital capacity. Missed appointments, overbooking, and underbooking dropped by 50%.

We built the system using ASP.NET Core Blazor Web Services and an SQL Server Database.
Also, we implemented a CI/CD pipeline, including unit testing using the xUnit testing framework, and managed work items on the GitLab server.

The hospital has different wards, including whiteboards where they would manually write, color-coded, statuses of patients, those ready for discharge and seen by a doctor, patients who have been clerked by nurses, and others.
Some wards would have multiple boards that would show additional information like dietary requirements for the patients.

This information was critical for improving service quality to patients, and most of the data manually inputted on the boards was extracted from the Hospital Management System.

I led a team that created a system that extracted the above information from the Hospital Management System and displayed it on an electronic whiteboard displayed on a computer with a huge TV screen.

The information displayed on these screens is organized, compact, color-coded, with various icons representing different conditions such as dementia, disabilities, allergies, and more.

Doctors and other interested parties would simply walk in and use the dashboards for rapid insights on the stages of their patients and their care.
These whiteboards improved the quality of care and have entirely replaced whiteboards and any manual input.

Created COVID-19 dashboard and reporting system used by the hospitals to proactively manage patients. The system was also used to report data to the health ministry nationally.

Built a Microsoft SQL Server database and ETL procedures to get data from hospital labs.

Created a REST API Web using C#, ASP.NET Core, and REST methods to manipulate and update data.

Developed a front-end client using ASP.NET Blazor WebAssembly and Chart.js for visual charts. The client can also be used to manipulate the data.

Created a Power BI dashboard for the hospital for interactive and insightful reports and dashboards.

The hospital had three systems, including Active Directory, Employee Staff Records, and Switchboard, that managed different aspects of employees’ details. However, these systems all required employee contact details. There was no central system for collecting this data; thus, each system updated its records. The hospital had three sets of the same information and organically huge inconsistencies.

I led a team that created a system that would start the day with a fresh copy of data from Active Directory.
All contact details for the day would be done through this system. Updated contact details would then be moved over to the other systems.
The system also handles conflicts if data gets updated outside the central system.

The team started by building a Microsoft SQL Server database.

We then created an ASP.NET Core MVC Web application for managing employee details.
Implemented security at a record level.

We then created a scheduled task that would run at appointed intervals to synchronize records accordingly.

Lead developer for Healthcare Management System (HMS) reporting module design and development, testing, and implementation.

• Conducted database performance tuning and query optimization.
• Developed using C# ASP.NET Framework MVC Web Application.
• SQL Server Database on a high-availability/failover cluster.
• The in-house HMS cut the group's annual software subscription costs by £500,000.

Created an extract, transform, load (ETL) solution using SQL Server Integration Services (SSIS) that consolidated and synchronized data from 104 strategic business units’ physically separated databases. Also developed an Analysis Services Solution (SSAS/Cubes) that cut SQL Server Reporting Services (SSRS) report load times by more than 50% and improved reporting accuracy.

Worked on a franchise-focused marketing project powered by Reach Agency through my Toptal engagement with Atlas Tech Development.

Acting as a full-stack developer, I created a digital marketing app using C#, .NET Core, and Angular. The app manages users' digital advertising suite. It reports tracking costs, clicks, and conversions, helping users narrow down demographics for targeted marketing.

Developed, managed, and maintained a business intelligence system.

Worked on automating business reports, including creating the first automated sales reporting system using SSRS, delivered reports via email and increased report accuracy, enabled timely and informed decisions. Designed SSAS cubes from the data warehouse, trained business users in self-service cube manipulation.