
Built a repeatable audit engine for IoT systems that turns evidence into deltas, regression alerts, and an executable backlog that can be re-run in CI.
Case Studies
Examples of architecture assessments, platform improvements, and implementation support for complex software and IoT systems.
Portfolio / Customer Cases
Project snapshots with architecture context, intervention focus, and practical delivery details.
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Built a repeatable audit engine for IoT systems that turns evidence into deltas, regression alerts, and an executable backlog that can be re-run in CI.

My virtual power plant prototype consisted of a microservice-based data platform built using advanced technologies such as Apache Kafka, actor model programming in Scala, and Akka to leverage actors and advanced streaming.

This project focused on using deep learning for damage prognostics on aircraft engines. The project was part of a computer science course in artificial intelligence and deep learning.

In this project, I worked in a four-person team to develop a full stack movie application for searching and bookmarking movies from IMDb. The application was designed from scratch with a PostgreSQL database, backend services, and a single-page frontend application.

This project was part of my final project for my Professional Bachelor’s degree in Software Development in January 2020, where I explored how data can be collected from vehicles and how such data can be used to improve safety and optimize the transportation industry.
Describe your architecture and delivery constraints, and you will receive a practical recommendation on the most effective first intervention.