I'm a Software Engineer based in New Jersey, currently at Axio.

I've worked across a range of companies, from startups to medium/large corporations, and enjoy solving complex problems while continuously improving my skills. I'm passionate about delivering high-quality software and exploring new challenges.

Axio:

At Axio, we empower clients to assess cyber risks using our Cyber Risk Quantification (CRQ) methods, built on frameworks like C2M2 v2.1, CIS Controls, and NIST CSF. Our platform, Axio360, serves as a decision-making engine for comprehensive cyber risk management, offering cybersecurity assessments, risk quantification, risk transfer, and cyber insurance analysis.

Things I've done:

I worked with a team of 5 engineers to bring to life Axio's new client-facing web application, built on NextJS (v14).

The project followed a monorepo approach with PNPM, TypeScript, and TurboRepo and after great effort my team and I migrated all of our TS/React/GQL applications under this monorepo, ensuring all applications were using the same TS version, ESlint, and Prettier configurations. This helped us maintaining a consistent codebase and allowed us to share code between applications and easy to onboard new developers.

To support the project, I provisioned the entire infrastructure using Terraform on both Google Cloud Platform and AWS, fully embracing an Infrastructure as Code (IaC) approach. By modularizing AWS and GCP resources like VPCs, databases, iam, kubernetes engine, service accounts and other necessary components. I made it easy to spin up new environments—such as QA, Dev, and Staging - for smoke testing new features and running isolated tests. This modular setup allowed us to quickly replicate environments, accelerating feature development and ensuring reliable deployment processes.

Additionally, I used Terraform to automatically create virtual machine instances that served as build agents for CI/CD pipelines on Azure DevOps. These agents spun up Docker environments, allowing us to run Cypress tests against our codebase in isolated containers. This ensured that each new build was thoroughly tested, with no previous features breaking in the process. With Datadog integrated into the pipeline, we monitored the infrastructure in real-time, identifying bottlenecks and improving system reliability across our Kubernetes clusters. The combination of CI/CD automation and Terraform-based infrastructure significantly streamlined the deployment workflow, enabling faster iteration cycles and more reliable feature releases.

Outside of tech:

• I enjoy working out, golfing, and hanging out with friends
• At the moment building a cookbook application for my wife here is the repo: Cookbook - which is a WIP