Zoltán Hanesz

about me.

Hello, I am Zoltan - a full-stack software engineer wielding a wide array of skills, with industry experience working for top firms in the tech (FAANG) and finance sector.

My main are of focus is backend, cloud engineering and DevOps - a one-stop-shop for building data-intensive applications that can be deployed in the cloud, scale well and run reliably.

More than anything, I enjoy working with clients to fully understand the technological solution they desire, and providing my professional skills to help their ideas come to life.

education & experience.

G-Research - finance, hedge-fund
AWS - tech, cloud computing
Imperial College London - university

After finishing my studies, I worked at G-Research for 2 years (2021-2023). During my time there, I worked in 2 different roles: first as a security infrastructure engineer, later as a full-stack software engineer working on internal productivity tooling.

my focus.

cloud engineering

system architecture & development of scalable applications on major cloud providers

AWSGCPKubernetesDockerMicroservices

full-stack engineering

fully built responsive applications - user-friendly, scalable & reliable

ReactNext.jsJavascriptTailwindCSSPythonJavaGolangC#/.NET

projects.

Habit Tracker

Born out of my frustration to accurate maintain time sheets and from my obsession with tracking all aspects of my life, this simple web app allows a user to: track their work sessions via a stopwatch or time, label each session with customisable metadata, analyse their trends over time to help with designing an optimal personalised work schedule. The long-term vision is to build integrations with health & fitness trackers and correllate them with the measured data, which will allow for even more accurate personalised suggestions.

Next.js

React

Typescript

TailwindCSS

FastAPI

Python

MongoDB

EC2

Route 53

Auth0

Halo

Based on Backstage by Spotify, this solution was built to provide employees a simple and clear way of managing the company's private cloud infrastructure, leading to a 100x improvement on developer efficiency in some scenarios. This was a truly holistic solution: data modelling and cataloguing all company resources (employees, compute, storage etc.); frontend UI (human users); backend API (machine users) with async messaging able to handle provisioning failures, cancellations etc.; infrastructure provisioning engine via Terraform.

React

Typescript

Backstage

.NET

C#

PostgreSQL

Pulumi

Terraform

Kubernetes

Secrets management

ML path planning

L7 Load Balancers